two years with extreme and little snowfall: effects on energy

19
The Cryosphere, 10, 1395–1413, 2016 www.the-cryosphere.net/10/1395/2016/ doi:10.5194/tc-10-1395-2016 © Author(s) 2016. CC Attribution 3.0 License. Two years with extreme and little snowfall: effects on energy partitioning and surface energy exchange in a high-Arctic tundra ecosystem Christian Stiegler 1 , Magnus Lund 1,2 , Torben Røjle Christensen 1,2 , Mikhail Mastepanov 1,2 , and Anders Lindroth 1 1 Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sölvegatan 12, 22362 Lund, Sweden 2 Arctic Research Centre, Department of Bioscience, Aarhus University, Roskilde, Frederiksborgvej 399, 4000 Roskilde, Denmark Correspondence to: Christian Stiegler ([email protected]) Received: 12 January 2016 – Published in The Cryosphere Discuss.: 25 February 2016 Revised: 8 June 2016 – Accepted: 17 June 2016 – Published: 8 July 2016 Abstract. Snow cover is one of the key factors controlling Arctic ecosystem functioning and productivity. In this study we assess the impact of strong variability in snow accumu- lation during 2 subsequent years (2013–2014) on the land– atmosphere interactions and surface energy exchange in two high-Arctic tundra ecosystems (wet fen and dry heath) in Zackenberg, Northeast Greenland. We observed that record- low snow cover during the winter 2012/2013 resulted in a strong response of the heath ecosystem towards low evap- orative capacity and substantial surface heat loss by sensi- ble heat fluxes (H) during the subsequent snowmelt period and growing season. Above-average snow accumulation dur- ing the winter 2013/2014 promoted summertime ground heat fluxes (G) and latent heat fluxes (LE) at the cost of H . At the fen ecosystem a more muted response of LE, H and G was observed in response to the variability in snow accumu- lation. Overall, the differences in flux partitioning and in the length of the snowmelt periods and growing seasons during the 2 years had a strong impact on the total accumulation of the surface energy balance components. We suggest that in a changing climate with higher temperature and more precip- itation the surface energy balance of this high-Arctic tundra ecosystem may experience a further increase in the variabil- ity of energy accumulation, partitioning and redistribution. 1 Introduction The presence or absence of snow has a strong impact on the land–atmosphere interactions and on the exchange of energy and mass. The high albedo of snow (Warren, 1982) reduces the amount of absorbed short-wave radiation at the surface, which generally leads to a smaller magnitude of the surface energy balance components. The influence of the snow on the energy balance is most pronounced during spring when the commonly patchy distribution of snow causes strong spa- tial variations in surface temperature and surface energy bal- ance components (Chernov, 1988). The meltwater in Arctic soils contributes a considerable proportion of plant-available water during summertime and, as such, end-of-winter snow depth constitutes an important control of the summertime en- ergy partitioning into sensible (H ) and latent heat (LE) fluxes (Langer et al., 2011). Since the end of the Little Ice Age the climate in the Arc- tic has undergone a substantial warming to the highest tem- peratures in 400 years (Overpeck et al., 1997). Warming has further accelerated during the second half of the 20th century and was almost twice as strong as the global average (Stocker et al., 2013). Between the years 1966 and 2003 temperatures in the Arctic increased by 0.4 C per decade with most pro- nounced warming during the cold seasons (McBean et al., 2005). A reanalysis of meteorological observations over the period 1989–2008 shows that near-surface warming is 1.6 C during autumn and winter and 0.9 and 0.5 C during spring and summer (Screen and Simmonds, 2010). It is suggested that diminishing sea ice, snow–albedo and ice–albedo feed- Published by Copernicus Publications on behalf of the European Geosciences Union.

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The Cryosphere 10 1395ndash1413 2016wwwthe-cryospherenet1013952016doi105194tc-10-1395-2016copy Author(s) 2016 CC Attribution 30 License

Two years with extreme and little snowfall effects onenergy partitioning and surface energy exchange in ahigh-Arctic tundra ecosystemChristian Stiegler1 Magnus Lund12 Torben Roslashjle Christensen12 Mikhail Mastepanov12 and Anders Lindroth1

1Department of Physical Geography and Ecosystem Science Lund University Lund Soumllvegatan 12 223 62 Lund Sweden2Arctic Research Centre Department of Bioscience Aarhus University Roskilde Frederiksborgvej 3994000 Roskilde Denmark

Correspondence to Christian Stiegler (christianstieglernatekoluse)

Received 12 January 2016 ndash Published in The Cryosphere Discuss 25 February 2016Revised 8 June 2016 ndash Accepted 17 June 2016 ndash Published 8 July 2016

Abstract Snow cover is one of the key factors controllingArctic ecosystem functioning and productivity In this studywe assess the impact of strong variability in snow accumu-lation during 2 subsequent years (2013ndash2014) on the landndashatmosphere interactions and surface energy exchange in twohigh-Arctic tundra ecosystems (wet fen and dry heath) inZackenberg Northeast Greenland We observed that record-low snow cover during the winter 20122013 resulted in astrong response of the heath ecosystem towards low evap-orative capacity and substantial surface heat loss by sensi-ble heat fluxes (H) during the subsequent snowmelt periodand growing season Above-average snow accumulation dur-ing the winter 20132014 promoted summertime ground heatfluxes (G) and latent heat fluxes (LE) at the cost of H Atthe fen ecosystem a more muted response of LE H and Gwas observed in response to the variability in snow accumu-lation Overall the differences in flux partitioning and in thelength of the snowmelt periods and growing seasons duringthe 2 years had a strong impact on the total accumulation ofthe surface energy balance components We suggest that in achanging climate with higher temperature and more precip-itation the surface energy balance of this high-Arctic tundraecosystem may experience a further increase in the variabil-ity of energy accumulation partitioning and redistribution

1 Introduction

The presence or absence of snow has a strong impact on thelandndashatmosphere interactions and on the exchange of energyand mass The high albedo of snow (Warren 1982) reducesthe amount of absorbed short-wave radiation at the surfacewhich generally leads to a smaller magnitude of the surfaceenergy balance components The influence of the snow onthe energy balance is most pronounced during spring whenthe commonly patchy distribution of snow causes strong spa-tial variations in surface temperature and surface energy bal-ance components (Chernov 1988) The meltwater in Arcticsoils contributes a considerable proportion of plant-availablewater during summertime and as such end-of-winter snowdepth constitutes an important control of the summertime en-ergy partitioning into sensible (H ) and latent heat (LE) fluxes(Langer et al 2011)

Since the end of the Little Ice Age the climate in the Arc-tic has undergone a substantial warming to the highest tem-peratures in 400 years (Overpeck et al 1997) Warming hasfurther accelerated during the second half of the 20th centuryand was almost twice as strong as the global average (Stockeret al 2013) Between the years 1966 and 2003 temperaturesin the Arctic increased by 04 C per decade with most pro-nounced warming during the cold seasons (McBean et al2005) A reanalysis of meteorological observations over theperiod 1989ndash2008 shows that near-surface warming is 16 Cduring autumn and winter and 09 and 05 C during springand summer (Screen and Simmonds 2010) It is suggestedthat diminishing sea ice snowndashalbedo and icendashalbedo feed-

Published by Copernicus Publications on behalf of the European Geosciences Union

1396 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

backs and atmospheric energy transport into the Arctic gov-ern Arctic temperature amplification (Graversen et al 2008Screen and Simmonds 2010 Bintanja and van der Linden2013)

Precipitation in the Arctic is generally low however forthe period from 1900 to 2003 precipitation increased by14 per decade (McBean et al 2005) with a pronouncedincrease mostly during winter (Becker et al 2013) Theobserved contribution of snow precipitation to total annualprecipitation has declined (Hartman et al 2013) Extremeevents such as extremely high temperatures and heavy pre-cipitation have increased while extremely low temperatureshave decreased over most parts of the Arctic (Hartman et al2013) During the 21st century the ongoing changes in thetemperature and precipitation regime are expected to con-tinue By the end of the century models based on the Repre-sentative Concentration Pathway (RCP) 45 scenario predictan average warming of 39 C over Arctic land areas (Stockeret al 2013) and an increase in precipitation of more than50 mostly during autumn and winter (Bintanja and Sel-ten 2014) However due to the increase in air temperatureand rain-on-snow events the maximum amount of snow ac-cumulation on the ground is projected to increase by only0ndash30 and snow cover duration might decrease by 10ndash20 over most of the Arctic regions (Callaghan et al 2011a)

At our study region in Zackenberg Northeast Greenlandmean July air temperatures during the period 2000ndash2010 in-creased by 018 C yrminus1 and the active layer thickened by15 cm yrminus1 (Lund et al 2014) Based on the IPCC SRESA1B scenario (Nakicenovic et al 2000) local climate mod-elling for the region predicts an increase in mean annualair temperature by 41 C for the period 2051ndash2080 com-pared to 1961ndash1990 with the highest increase during win-ter (66 C) and spring (74 C) while precipitation over east-ern Greenland is projected to increase by 60 (Stendel et al2007)

Arctic ecosystems are highly adapted to extreme sea-sonal variability in solar radiation temperature snow coverand precipitation However studies have shown that winterwarming events and interannual snow cover variability affectecosystem functioning in various adverse ways and these ex-tremes are expected to occur more frequently in the future(Callaghan et al 2005 Kattsov et al 2005 Stocker et al2013) Hence there is an urgent need to assess their impacton Arctic ecosystems Several studies have focused on theeffect of extreme temperatures on plant productivity and car-bon sequestration (Chapin III et al 1995 Marchand et al2005 Euskirchen et al 2006 Bokhorst et al 2008 2011)but the direct impact of successive snow cover variability onthe landndashatmosphere interactions and surface energy balancecomponents is largely unknown

Here we examine the impact of strong variability insnow accumulation by studying the landndashatmosphere inter-actions and surface energy balance components in a high-Arctic tundra heath and fen environment during 2 subse-

quent years (2013ndash2014) with distinct differences in end-of-winter snow depth Our study area is located in Zackenbergin Northeast Greenland where record-low snow accumula-tion was observed during the winter 20122013 (Mylius etal 2014) followed by snow-rich conditions during the win-ter 20132014 This sequence of strong variability in snowaccumulation forms the following objectives of our study(1) to assess the magnitude of the energy balance compo-nents and moisture exchange during the snowmelt periodsand growing seasons in 2013 and 2014 and (2) to quantifyand evaluate the driving factors of surface energy partition-ing during the observation period at our high-Arctic fen andheath site

2 Materials and methods

21 Study sites

The study sites are located in the valley Zackenbergdalen inNortheast Greenland near the Zackenberg Research Station(7430prime N 2030primeW) (Fig 1a) The valley is surrounded bymountains to the west north and east while Young Soundand Tyrolerfjord form the valley boundary to the south Veg-etation is sparse and mainly found in the valley bottom andon the lower parts of the slopes Cassiope heaths Salix arc-tica snow beds grasslands and fens with sedges and grassesdominate in the lowlands while open Dryas sp heaths andgrasslands form the main plant communities on the slopes(Bay 1998)

We conducted measurements of surface energy balancecomponents and meteorological variables in a wet fen andin a tundra heath with a distance of sim 600 m between thetwo measurement towers The fen area can be divided intoa continuous fen with flat areas dominated by Eriophorumscheuchzeri Carex stans and Duponita psilosantha and ahummocky fen dominated by E triste S arctica and An-dromeda latifolia (Bay 1998 Elberling et al 2008) Thetundra heath site is characterized by Cassiope tetragonaD integrifolia Vaccinium uliginosum and patches of mossesE scheuchzeri and S arctica (Lund et al 2012)

Since August 1995 meteorological and environmentalmonitoring activities have been conducted by the Zack-enberg Ecological Research Operations (ZERO) a part ofthe Greenland Ecosystem Monitoring (GEM) programmeMean annual air temperature in Zackenberg (1996ndash2013) isminus90 C with an average span from minus193 C in January to+63 C in July (Mylius et al 2014) Annual precipitation islow (211 mm) (Mylius et al 2014) and sim 85 consists ofsnow precipitation (Hansen et al 2008) Snow cover is un-evenly distributed in the valley with large deposits on south-facing slopes as winds from the north (offshore) dominateduring the winter (Soegaard et al 2001) During the growingseason winds from the south-east (onshore) dominate (El-berling et al 2008) The area is located within the zone of

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1397

Figure 1 (a) Location of the study sites in Zackenberg Northeast Greenland (base map provided by NunaGIS) (b) Characteristics of thestudy sites during the beginning of the snowmelt periods and during the growing seasons in 2013 and 2014

continuous permafrost and active layer thickness at the endof the summer reaches between 04 and 08 m within the val-ley (Christiansen 2004 Pedersen et al 2012)

22 Measurements

Fluxes of H and LE at the wet fen and the dry heath weremeasured by two eddy covariance systems Standard fluxcommunity instrumentation and processing schemes wereused to ensure reliable data quality For example the eddycovariance system at the wet fen uses well-accepted mea-surement standards of ICOS (Integrated Carbon ObservationSystem) At the wet fen a 3 m tower was equipped with a LI-7200 (LI-COR Inc USA) enclosed-path gas analyser anda Gill HS (Gill Instruments Ltd UK) 3-D wind anemometerAir was drawn at a rate of 15 L minminus1 through a 1 m long tube(9 mm inner diameter) Data from both sensors were sampledat a rate of 20 Hz and fluxes were calculated using EddyProsoftware (LI-COR Inc USA) Air temperature (Ta) relativehumidity (RH) and air pressure measured by external sen-sors was used in flux calculations The gas analyser was cal-ibrated based on manual calibrations using air with knownCO2 concentration and based on estimated H2O concentra-tion from TaRH measurements Post-processing and qualitychecks follow standard procedures (Aubinet et al 2012)

At the dry heath a 3 m tower was equipped with a Gill R3(Gill Instruments Ltd UK) sonic anemometer and a LI-7000(LI-COR Inc USA) gas analyser Air was drawn through62 m of tubing (inner diameter 18primeprime) at a rate of 55 L minminus1

to the sensor To ensure that the eddy covariance measure-ments capture all scales of mixed-layer turbulence cospec-tral analysis (Wyngaard and Cote 1972) between the verti-cal wind velocity and turbulent energy flux was performedat both study locations Data processing for both study lo-cations is further summarized in Soegaard et al (2001) andLund et al (2012 2014)

At both locations snow depth measurements (SR50ACampbell Scientific USA) were used to dynamically esti-mate sonic height above the snow layer and soil temper-ature (T107 Campbell Scientific USA) at a depth of 210 20 40 50 and 60 cm soil heat flux (HFP01 HuksefluxThe Netherlands) at a depth of 4 cm net radiation (CNR4Kipp amp Zonen The Netherlands) at a height of 3 m and snowpack temperature at 10 20 40 60 90 and 120 cm above thesoil surface were measured At the dry heath soil moisture(SM 300 Delta-T Devices UK) was measured at a depthof 5 10 30 and 50 cm

Ancillary meteorological parameters such as air temper-ature and humidity (HMP 45D Vaisala Finland) radia-tion components (CNR1 Kipp amp Zonen the Netherlands)and precipitation (52203 RM Young Company USA) are

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1398 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table 1 List of parameters and symbols

Name Unit Explanation Location

RSdarr W mminus2 Incoming short-wave radiation Wet fen dry heath Asiaq towerRSuarr W mminus2 Outgoing short-wave radiation Wet fen dry heath Asiaq towerRLdarr W mminus2 Downwelling long-wave radiation Wet fen dry heath Asiaq towerRLuarr W mminus2 Upwelling long-wave radiation Wet fen dry heath Asiaq towerRSnet W mminus2 Net solar radiation (Eq 2) Wet fen dry heath Asiaq towerRLnet W mminus2 Net long-wave radiation (Eq 2) Wet fen dry heath Asiaq towerRnet W mminus2 Net radiation (Eq 2) Wet fen dry heath Asiaq towerAlbedo Surface albedo Wet fen dry heath Asiaq towerTa

C Air temperature Wet fen dry heath Asiaq towerTsurf

C Snow surface temperature Wet fen dry heath Asiaq towerTs

C Soil temperature at 2 and 10 cm depth Wet fen dry heathH W mminus2 Sensible heat flux Wet fen dry heathLE W mminus2 Latent heat flux Wet fen dry heathG W mminus2 Ground heat flux Wet fen dry heathH LE Bowen ratio Wet fen dry heathSnow depth m Snow depth Wet fen dry heath Asiaq towerSoil moisture Soil moisture content Wet fen dry heathMixing ratio g kgminus1 Atmospheric mixing ratio Wet fen dry heathRH Relative humidity Wet fen dry heath Asiaq towerVPD hPa Atmospheric vapour pressure deficit Wet fen dry heath Asiaq towerET mm dayminus1 Evapotranspiration Wet fen dry heathPrecip mm Precipitation Asiaq towerα PriestleyndashTaylor coefficient (Eq 8) Wet fen dry heathu m sminus1 Wind speed Wet fen dry heathulowast m sminus1 Friction velocity Wet fen dry heathra s mminus1 Aerodynamic resistance (Eq 5) Wet fen dry heathrs s mminus1 Surface resistance (Eq 6) Wet fen dry heath McNaughton and Jarvis omega value (Eq 7) Wet fen dry heathNDVI Normalized Difference Vegetation Index Wet fen

provided from a nearby meteorological station operated byAsiaq ndash Greenland Survey This station is located at the sameheath sim 150 m away from the heath eddy covariance towerNormalized Difference Vegetation Index (NDVI) was mea-sured at the wet fen site (SKR 1800 Skye Instruments LtdUK) Power supply for all stations was provided by dieselgenerators from the nearby Zackenberg Research Station(May to October) and by solar panels and a windmill (Su-perwind 350 superwind GmbH Germany) during the periodwhen the research station was closed

23 Data analysis and derived parameters

The surface energy balance of the wet fen and the dry heathis described by

Rnet =H +LE+G+Emelt (1)

where Rnet is the net radiation H is the sensible heat fluxLE is the latent heat flux G is the ground heat flux at thesoil or snow surface and Emelt is the energy flux used forsnowmelt (Table 1) During the snow-free season Emelt iszero When directed away from the surface H LE and G

are positive and Rnet is negative Bowen ratio (H LE) andratios of H Rnet LE Rnet and G Rnet are used to charac-terize relative magnitude of the heat transfer from the surface

The net radiation balance (Rnet) was defined as

Rnet = RS darr +RL darr minus(RS uarr +RL uarr) (2)

where RSdarr and RSuarr are incoming and outgoing short-waveradiation and RLdarr and RLuarr are upwelling and downwellinglong-wave radiation respectively When directed away fromthe surface all radiative components are negative Surfacealbedo was calculated as the quotient between RSdarr and RSuarrMissing values from radiative components at the dry heathsite were filled with measurements from the nearby Asiaqmeteorological tower

Ground heat flux (G) at the soil or snow surface was cal-culated by adding the storage flux in the layer above the heatflux plate (S) to the measured flux

S = Cs1Ts

1td (3)

where 1Ts1t is the change in soil or snow pack temper-ature (K) over time t (s) d is the heat flux plate installa-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1399Ta

ble

2Su

mm

ary

ofpo

larn

ight

and

pre-

mel

tsea

son

Lis

tofm

ean

daily

radi

atio

nco

mpo

nent

san

den

viro

nmen

talc

hara

cter

istic

sdu

ring

the

pola

rnig

htse

ason

san

dpr

e-m

elts

easo

nsin

2012

201

3an

d20

132

014

Pola

rnig

htPr

e-m

elts

easo

n

2012

201

320

132

014

2013

2014

Dur

atio

n10

Nov

ndash4Fe

b10

Nov

ndash4Fe

b5

Febndash

12M

ay5

Febndash

5M

ay

Ave

rage

Ran

geA

vera

geR

ange

Ave

rage

Ran

geA

vera

geR

ange

(sta

ndar

d(s

tand

ard

(sta

ndar

d(s

tand

ard

erro

r)er

ror)

erro

r)er

ror)

RSdarr

(Wmminus

2 )0

00

099

2(8

6)

0ndash58

69

870

(83

)0ndash

577

0R

Suarr(W

mminus

2 )0

00

0minus

819

(68

)0ndashminus

449

5minus

764

(70

)0ndashminus

480

0R

Ldarr

(Wmminus

2 )19

32

(39

)13

34ndash

293

921

31

(47

)14

07ndash

305

718

83

(31

)14

21ndash

269

819

46

(33

)14

13ndash

280

5R

Luarr

(Wmminus

2 )minus

219

2(2

3)minus

176

9ndashminus

295

1minus

237

1(3

1)minus

190

4ndashminus

307

7minus

224

1(2

6)minus

175

5ndashminus

276

5minus

225

7(2

5)minus

173

3ndashminus

285

8R

S net

(Wmminus

2 )0

00

017

1(1

9)

0ndash65

811

0(1

4)

0ndash50

7R

Lne

t(W

mminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)minus

696

ndash77

minus35

4(2

1)minus

674

ndash17

5minus

311

(19

)minus

627

ndash14

2R

net

(Wmminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)69

6ndash7

7minus

180

(18

)minus

440

ndash37

3minus

205

(17

)minus

482

ndash15

3T

a(

C)

minus19

2(0

6)minus

287

ndashminus

48

minus15

2(0

7)minus

278

ndashminus

08

minus18

1(0

7)minus

235

ndashminus

65

minus17

6(0

6)minus

294

ndashminus

385

Tsu

rf

(C

)minus

241

(06

)minus

368

ndashminus

46

minus19

2(0

8)minus

324

ndashminus

17

minus22

8(0

7)minus

373

ndashminus

90

minus22

3(0

7)minus

380

ndashminus

67

Air

pres

sure

(hPa

)10

100

(11

)98

31ndash

1030

610

035

(12

)95

69ndash

1021

310

191

(12

)99

91ndash

1050

010

070

(11

)97

55ndash

1030

4

tion depth (m) and Cs is the soil or snow pack heat capacity(J mminus3 Kminus1) defined as

Cs = ρbCd+ θvρwCw (4)

where ρb is the bulk density Cd is the dry soil heat capac-ity of 840 J kgminus1 Kminus1 (Hanks and Ashcroft 1980) or theheat capacity of ice (2102 J kgminus1 Kminus1) θv is the volumet-ric soil or snow pack water content (m3 mminus3) ρw is the wa-ter density (1000 kg mminus3) and Cw is the water heat capacity(4186 J kgminus1 Kminus1) For ρb a value of 900 kg mminus3 at the heathand 600 kg mminus3 at the fen (Elberling et al 2008) was usedduring the growing season while during the snowmelt pe-riod in 2014 the density of the snow pack was derived fromin situ measurements Since no snow density measurementswere performed during the snowmelt period in 2013 and thesoil surface was not completely snow covered during that pe-riod G in 2013 was not corrected for heat storage within thesnow pack

The aerodynamic resistance (ra s mminus1) determines the tur-bulent heat transfer from the surface and was defined as(Monteith and Unsworth 2013)

ra =u

u2lowast

+ 62uminus067lowast (5)

where u is the wind speed (m sminus1) and ulowast is the friction ve-locity (m sminus1)

Surface resistance (rs s mminus1) as a measure to quantify thestomatal control in the canopy on the turbulent fluxes wascalculated as (Shuttleworth 2007)

rs =

(1

γβ minus 1

)ra+ (1+β)

ρcp

γ

D

A (6)

where 1 is the slope of the saturated vapour pressure curve(Pa Kminus1) γ is the psychrometric constant (Pa Kminus1) β is theBowen ratio ρ is the air density (kg mminus3) cp is the spe-cific heat capacity of air at constant pressure (J kgminus1 Kminus1)D is the atmospheric vapour pressure deficit (Pa) and A isthe available energy for evaporation (RnetminusG W mminus2)

The decoupling coefficient () (Jarvis and McNaughton1986) expresses the degree of interaction between ra and rs

=

(1+

1

1+ γ

rs

ra

)minus1

(7)

The decoupling coefficient varies from 0 to 1 where closeto 0 indicates a strong coupling between the vegetation andthe atmosphere with vapour pressure deficit (VPD) being themain driver of LE whereas close to 1 suggest a decouplingof LE and VPD with Rnet being the main driver for LE

PriestleyndashTaylor coefficient (α) (Priestley and Taylor1972) was calculated as

α =1+ γ

1(1+β) (8)

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

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1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

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Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

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Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1396 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

backs and atmospheric energy transport into the Arctic gov-ern Arctic temperature amplification (Graversen et al 2008Screen and Simmonds 2010 Bintanja and van der Linden2013)

Precipitation in the Arctic is generally low however forthe period from 1900 to 2003 precipitation increased by14 per decade (McBean et al 2005) with a pronouncedincrease mostly during winter (Becker et al 2013) Theobserved contribution of snow precipitation to total annualprecipitation has declined (Hartman et al 2013) Extremeevents such as extremely high temperatures and heavy pre-cipitation have increased while extremely low temperatureshave decreased over most parts of the Arctic (Hartman et al2013) During the 21st century the ongoing changes in thetemperature and precipitation regime are expected to con-tinue By the end of the century models based on the Repre-sentative Concentration Pathway (RCP) 45 scenario predictan average warming of 39 C over Arctic land areas (Stockeret al 2013) and an increase in precipitation of more than50 mostly during autumn and winter (Bintanja and Sel-ten 2014) However due to the increase in air temperatureand rain-on-snow events the maximum amount of snow ac-cumulation on the ground is projected to increase by only0ndash30 and snow cover duration might decrease by 10ndash20 over most of the Arctic regions (Callaghan et al 2011a)

At our study region in Zackenberg Northeast Greenlandmean July air temperatures during the period 2000ndash2010 in-creased by 018 C yrminus1 and the active layer thickened by15 cm yrminus1 (Lund et al 2014) Based on the IPCC SRESA1B scenario (Nakicenovic et al 2000) local climate mod-elling for the region predicts an increase in mean annualair temperature by 41 C for the period 2051ndash2080 com-pared to 1961ndash1990 with the highest increase during win-ter (66 C) and spring (74 C) while precipitation over east-ern Greenland is projected to increase by 60 (Stendel et al2007)

Arctic ecosystems are highly adapted to extreme sea-sonal variability in solar radiation temperature snow coverand precipitation However studies have shown that winterwarming events and interannual snow cover variability affectecosystem functioning in various adverse ways and these ex-tremes are expected to occur more frequently in the future(Callaghan et al 2005 Kattsov et al 2005 Stocker et al2013) Hence there is an urgent need to assess their impacton Arctic ecosystems Several studies have focused on theeffect of extreme temperatures on plant productivity and car-bon sequestration (Chapin III et al 1995 Marchand et al2005 Euskirchen et al 2006 Bokhorst et al 2008 2011)but the direct impact of successive snow cover variability onthe landndashatmosphere interactions and surface energy balancecomponents is largely unknown

Here we examine the impact of strong variability insnow accumulation by studying the landndashatmosphere inter-actions and surface energy balance components in a high-Arctic tundra heath and fen environment during 2 subse-

quent years (2013ndash2014) with distinct differences in end-of-winter snow depth Our study area is located in Zackenbergin Northeast Greenland where record-low snow accumula-tion was observed during the winter 20122013 (Mylius etal 2014) followed by snow-rich conditions during the win-ter 20132014 This sequence of strong variability in snowaccumulation forms the following objectives of our study(1) to assess the magnitude of the energy balance compo-nents and moisture exchange during the snowmelt periodsand growing seasons in 2013 and 2014 and (2) to quantifyand evaluate the driving factors of surface energy partition-ing during the observation period at our high-Arctic fen andheath site

2 Materials and methods

21 Study sites

The study sites are located in the valley Zackenbergdalen inNortheast Greenland near the Zackenberg Research Station(7430prime N 2030primeW) (Fig 1a) The valley is surrounded bymountains to the west north and east while Young Soundand Tyrolerfjord form the valley boundary to the south Veg-etation is sparse and mainly found in the valley bottom andon the lower parts of the slopes Cassiope heaths Salix arc-tica snow beds grasslands and fens with sedges and grassesdominate in the lowlands while open Dryas sp heaths andgrasslands form the main plant communities on the slopes(Bay 1998)

We conducted measurements of surface energy balancecomponents and meteorological variables in a wet fen andin a tundra heath with a distance of sim 600 m between thetwo measurement towers The fen area can be divided intoa continuous fen with flat areas dominated by Eriophorumscheuchzeri Carex stans and Duponita psilosantha and ahummocky fen dominated by E triste S arctica and An-dromeda latifolia (Bay 1998 Elberling et al 2008) Thetundra heath site is characterized by Cassiope tetragonaD integrifolia Vaccinium uliginosum and patches of mossesE scheuchzeri and S arctica (Lund et al 2012)

Since August 1995 meteorological and environmentalmonitoring activities have been conducted by the Zack-enberg Ecological Research Operations (ZERO) a part ofthe Greenland Ecosystem Monitoring (GEM) programmeMean annual air temperature in Zackenberg (1996ndash2013) isminus90 C with an average span from minus193 C in January to+63 C in July (Mylius et al 2014) Annual precipitation islow (211 mm) (Mylius et al 2014) and sim 85 consists ofsnow precipitation (Hansen et al 2008) Snow cover is un-evenly distributed in the valley with large deposits on south-facing slopes as winds from the north (offshore) dominateduring the winter (Soegaard et al 2001) During the growingseason winds from the south-east (onshore) dominate (El-berling et al 2008) The area is located within the zone of

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1397

Figure 1 (a) Location of the study sites in Zackenberg Northeast Greenland (base map provided by NunaGIS) (b) Characteristics of thestudy sites during the beginning of the snowmelt periods and during the growing seasons in 2013 and 2014

continuous permafrost and active layer thickness at the endof the summer reaches between 04 and 08 m within the val-ley (Christiansen 2004 Pedersen et al 2012)

22 Measurements

Fluxes of H and LE at the wet fen and the dry heath weremeasured by two eddy covariance systems Standard fluxcommunity instrumentation and processing schemes wereused to ensure reliable data quality For example the eddycovariance system at the wet fen uses well-accepted mea-surement standards of ICOS (Integrated Carbon ObservationSystem) At the wet fen a 3 m tower was equipped with a LI-7200 (LI-COR Inc USA) enclosed-path gas analyser anda Gill HS (Gill Instruments Ltd UK) 3-D wind anemometerAir was drawn at a rate of 15 L minminus1 through a 1 m long tube(9 mm inner diameter) Data from both sensors were sampledat a rate of 20 Hz and fluxes were calculated using EddyProsoftware (LI-COR Inc USA) Air temperature (Ta) relativehumidity (RH) and air pressure measured by external sen-sors was used in flux calculations The gas analyser was cal-ibrated based on manual calibrations using air with knownCO2 concentration and based on estimated H2O concentra-tion from TaRH measurements Post-processing and qualitychecks follow standard procedures (Aubinet et al 2012)

At the dry heath a 3 m tower was equipped with a Gill R3(Gill Instruments Ltd UK) sonic anemometer and a LI-7000(LI-COR Inc USA) gas analyser Air was drawn through62 m of tubing (inner diameter 18primeprime) at a rate of 55 L minminus1

to the sensor To ensure that the eddy covariance measure-ments capture all scales of mixed-layer turbulence cospec-tral analysis (Wyngaard and Cote 1972) between the verti-cal wind velocity and turbulent energy flux was performedat both study locations Data processing for both study lo-cations is further summarized in Soegaard et al (2001) andLund et al (2012 2014)

At both locations snow depth measurements (SR50ACampbell Scientific USA) were used to dynamically esti-mate sonic height above the snow layer and soil temper-ature (T107 Campbell Scientific USA) at a depth of 210 20 40 50 and 60 cm soil heat flux (HFP01 HuksefluxThe Netherlands) at a depth of 4 cm net radiation (CNR4Kipp amp Zonen The Netherlands) at a height of 3 m and snowpack temperature at 10 20 40 60 90 and 120 cm above thesoil surface were measured At the dry heath soil moisture(SM 300 Delta-T Devices UK) was measured at a depthof 5 10 30 and 50 cm

Ancillary meteorological parameters such as air temper-ature and humidity (HMP 45D Vaisala Finland) radia-tion components (CNR1 Kipp amp Zonen the Netherlands)and precipitation (52203 RM Young Company USA) are

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1398 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table 1 List of parameters and symbols

Name Unit Explanation Location

RSdarr W mminus2 Incoming short-wave radiation Wet fen dry heath Asiaq towerRSuarr W mminus2 Outgoing short-wave radiation Wet fen dry heath Asiaq towerRLdarr W mminus2 Downwelling long-wave radiation Wet fen dry heath Asiaq towerRLuarr W mminus2 Upwelling long-wave radiation Wet fen dry heath Asiaq towerRSnet W mminus2 Net solar radiation (Eq 2) Wet fen dry heath Asiaq towerRLnet W mminus2 Net long-wave radiation (Eq 2) Wet fen dry heath Asiaq towerRnet W mminus2 Net radiation (Eq 2) Wet fen dry heath Asiaq towerAlbedo Surface albedo Wet fen dry heath Asiaq towerTa

C Air temperature Wet fen dry heath Asiaq towerTsurf

C Snow surface temperature Wet fen dry heath Asiaq towerTs

C Soil temperature at 2 and 10 cm depth Wet fen dry heathH W mminus2 Sensible heat flux Wet fen dry heathLE W mminus2 Latent heat flux Wet fen dry heathG W mminus2 Ground heat flux Wet fen dry heathH LE Bowen ratio Wet fen dry heathSnow depth m Snow depth Wet fen dry heath Asiaq towerSoil moisture Soil moisture content Wet fen dry heathMixing ratio g kgminus1 Atmospheric mixing ratio Wet fen dry heathRH Relative humidity Wet fen dry heath Asiaq towerVPD hPa Atmospheric vapour pressure deficit Wet fen dry heath Asiaq towerET mm dayminus1 Evapotranspiration Wet fen dry heathPrecip mm Precipitation Asiaq towerα PriestleyndashTaylor coefficient (Eq 8) Wet fen dry heathu m sminus1 Wind speed Wet fen dry heathulowast m sminus1 Friction velocity Wet fen dry heathra s mminus1 Aerodynamic resistance (Eq 5) Wet fen dry heathrs s mminus1 Surface resistance (Eq 6) Wet fen dry heath McNaughton and Jarvis omega value (Eq 7) Wet fen dry heathNDVI Normalized Difference Vegetation Index Wet fen

provided from a nearby meteorological station operated byAsiaq ndash Greenland Survey This station is located at the sameheath sim 150 m away from the heath eddy covariance towerNormalized Difference Vegetation Index (NDVI) was mea-sured at the wet fen site (SKR 1800 Skye Instruments LtdUK) Power supply for all stations was provided by dieselgenerators from the nearby Zackenberg Research Station(May to October) and by solar panels and a windmill (Su-perwind 350 superwind GmbH Germany) during the periodwhen the research station was closed

23 Data analysis and derived parameters

The surface energy balance of the wet fen and the dry heathis described by

Rnet =H +LE+G+Emelt (1)

where Rnet is the net radiation H is the sensible heat fluxLE is the latent heat flux G is the ground heat flux at thesoil or snow surface and Emelt is the energy flux used forsnowmelt (Table 1) During the snow-free season Emelt iszero When directed away from the surface H LE and G

are positive and Rnet is negative Bowen ratio (H LE) andratios of H Rnet LE Rnet and G Rnet are used to charac-terize relative magnitude of the heat transfer from the surface

The net radiation balance (Rnet) was defined as

Rnet = RS darr +RL darr minus(RS uarr +RL uarr) (2)

where RSdarr and RSuarr are incoming and outgoing short-waveradiation and RLdarr and RLuarr are upwelling and downwellinglong-wave radiation respectively When directed away fromthe surface all radiative components are negative Surfacealbedo was calculated as the quotient between RSdarr and RSuarrMissing values from radiative components at the dry heathsite were filled with measurements from the nearby Asiaqmeteorological tower

Ground heat flux (G) at the soil or snow surface was cal-culated by adding the storage flux in the layer above the heatflux plate (S) to the measured flux

S = Cs1Ts

1td (3)

where 1Ts1t is the change in soil or snow pack temper-ature (K) over time t (s) d is the heat flux plate installa-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1399Ta

ble

2Su

mm

ary

ofpo

larn

ight

and

pre-

mel

tsea

son

Lis

tofm

ean

daily

radi

atio

nco

mpo

nent

san

den

viro

nmen

talc

hara

cter

istic

sdu

ring

the

pola

rnig

htse

ason

san

dpr

e-m

elts

easo

nsin

2012

201

3an

d20

132

014

Pola

rnig

htPr

e-m

elts

easo

n

2012

201

320

132

014

2013

2014

Dur

atio

n10

Nov

ndash4Fe

b10

Nov

ndash4Fe

b5

Febndash

12M

ay5

Febndash

5M

ay

Ave

rage

Ran

geA

vera

geR

ange

Ave

rage

Ran

geA

vera

geR

ange

(sta

ndar

d(s

tand

ard

(sta

ndar

d(s

tand

ard

erro

r)er

ror)

erro

r)er

ror)

RSdarr

(Wmminus

2 )0

00

099

2(8

6)

0ndash58

69

870

(83

)0ndash

577

0R

Suarr(W

mminus

2 )0

00

0minus

819

(68

)0ndashminus

449

5minus

764

(70

)0ndashminus

480

0R

Ldarr

(Wmminus

2 )19

32

(39

)13

34ndash

293

921

31

(47

)14

07ndash

305

718

83

(31

)14

21ndash

269

819

46

(33

)14

13ndash

280

5R

Luarr

(Wmminus

2 )minus

219

2(2

3)minus

176

9ndashminus

295

1minus

237

1(3

1)minus

190

4ndashminus

307

7minus

224

1(2

6)minus

175

5ndashminus

276

5minus

225

7(2

5)minus

173

3ndashminus

285

8R

S net

(Wmminus

2 )0

00

017

1(1

9)

0ndash65

811

0(1

4)

0ndash50

7R

Lne

t(W

mminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)minus

696

ndash77

minus35

4(2

1)minus

674

ndash17

5minus

311

(19

)minus

627

ndash14

2R

net

(Wmminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)69

6ndash7

7minus

180

(18

)minus

440

ndash37

3minus

205

(17

)minus

482

ndash15

3T

a(

C)

minus19

2(0

6)minus

287

ndashminus

48

minus15

2(0

7)minus

278

ndashminus

08

minus18

1(0

7)minus

235

ndashminus

65

minus17

6(0

6)minus

294

ndashminus

385

Tsu

rf

(C

)minus

241

(06

)minus

368

ndashminus

46

minus19

2(0

8)minus

324

ndashminus

17

minus22

8(0

7)minus

373

ndashminus

90

minus22

3(0

7)minus

380

ndashminus

67

Air

pres

sure

(hPa

)10

100

(11

)98

31ndash

1030

610

035

(12

)95

69ndash

1021

310

191

(12

)99

91ndash

1050

010

070

(11

)97

55ndash

1030

4

tion depth (m) and Cs is the soil or snow pack heat capacity(J mminus3 Kminus1) defined as

Cs = ρbCd+ θvρwCw (4)

where ρb is the bulk density Cd is the dry soil heat capac-ity of 840 J kgminus1 Kminus1 (Hanks and Ashcroft 1980) or theheat capacity of ice (2102 J kgminus1 Kminus1) θv is the volumet-ric soil or snow pack water content (m3 mminus3) ρw is the wa-ter density (1000 kg mminus3) and Cw is the water heat capacity(4186 J kgminus1 Kminus1) For ρb a value of 900 kg mminus3 at the heathand 600 kg mminus3 at the fen (Elberling et al 2008) was usedduring the growing season while during the snowmelt pe-riod in 2014 the density of the snow pack was derived fromin situ measurements Since no snow density measurementswere performed during the snowmelt period in 2013 and thesoil surface was not completely snow covered during that pe-riod G in 2013 was not corrected for heat storage within thesnow pack

The aerodynamic resistance (ra s mminus1) determines the tur-bulent heat transfer from the surface and was defined as(Monteith and Unsworth 2013)

ra =u

u2lowast

+ 62uminus067lowast (5)

where u is the wind speed (m sminus1) and ulowast is the friction ve-locity (m sminus1)

Surface resistance (rs s mminus1) as a measure to quantify thestomatal control in the canopy on the turbulent fluxes wascalculated as (Shuttleworth 2007)

rs =

(1

γβ minus 1

)ra+ (1+β)

ρcp

γ

D

A (6)

where 1 is the slope of the saturated vapour pressure curve(Pa Kminus1) γ is the psychrometric constant (Pa Kminus1) β is theBowen ratio ρ is the air density (kg mminus3) cp is the spe-cific heat capacity of air at constant pressure (J kgminus1 Kminus1)D is the atmospheric vapour pressure deficit (Pa) and A isthe available energy for evaporation (RnetminusG W mminus2)

The decoupling coefficient () (Jarvis and McNaughton1986) expresses the degree of interaction between ra and rs

=

(1+

1

1+ γ

rs

ra

)minus1

(7)

The decoupling coefficient varies from 0 to 1 where closeto 0 indicates a strong coupling between the vegetation andthe atmosphere with vapour pressure deficit (VPD) being themain driver of LE whereas close to 1 suggest a decouplingof LE and VPD with Rnet being the main driver for LE

PriestleyndashTaylor coefficient (α) (Priestley and Taylor1972) was calculated as

α =1+ γ

1(1+β) (8)

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

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1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

Aubinet M Vesala T and Papale D Eddy Covariance A Practi-cal Guide to Measurement and Data Analysis Springer Nether-lands Dordrecht 438 pp 2012

Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1397

Figure 1 (a) Location of the study sites in Zackenberg Northeast Greenland (base map provided by NunaGIS) (b) Characteristics of thestudy sites during the beginning of the snowmelt periods and during the growing seasons in 2013 and 2014

continuous permafrost and active layer thickness at the endof the summer reaches between 04 and 08 m within the val-ley (Christiansen 2004 Pedersen et al 2012)

22 Measurements

Fluxes of H and LE at the wet fen and the dry heath weremeasured by two eddy covariance systems Standard fluxcommunity instrumentation and processing schemes wereused to ensure reliable data quality For example the eddycovariance system at the wet fen uses well-accepted mea-surement standards of ICOS (Integrated Carbon ObservationSystem) At the wet fen a 3 m tower was equipped with a LI-7200 (LI-COR Inc USA) enclosed-path gas analyser anda Gill HS (Gill Instruments Ltd UK) 3-D wind anemometerAir was drawn at a rate of 15 L minminus1 through a 1 m long tube(9 mm inner diameter) Data from both sensors were sampledat a rate of 20 Hz and fluxes were calculated using EddyProsoftware (LI-COR Inc USA) Air temperature (Ta) relativehumidity (RH) and air pressure measured by external sen-sors was used in flux calculations The gas analyser was cal-ibrated based on manual calibrations using air with knownCO2 concentration and based on estimated H2O concentra-tion from TaRH measurements Post-processing and qualitychecks follow standard procedures (Aubinet et al 2012)

At the dry heath a 3 m tower was equipped with a Gill R3(Gill Instruments Ltd UK) sonic anemometer and a LI-7000(LI-COR Inc USA) gas analyser Air was drawn through62 m of tubing (inner diameter 18primeprime) at a rate of 55 L minminus1

to the sensor To ensure that the eddy covariance measure-ments capture all scales of mixed-layer turbulence cospec-tral analysis (Wyngaard and Cote 1972) between the verti-cal wind velocity and turbulent energy flux was performedat both study locations Data processing for both study lo-cations is further summarized in Soegaard et al (2001) andLund et al (2012 2014)

At both locations snow depth measurements (SR50ACampbell Scientific USA) were used to dynamically esti-mate sonic height above the snow layer and soil temper-ature (T107 Campbell Scientific USA) at a depth of 210 20 40 50 and 60 cm soil heat flux (HFP01 HuksefluxThe Netherlands) at a depth of 4 cm net radiation (CNR4Kipp amp Zonen The Netherlands) at a height of 3 m and snowpack temperature at 10 20 40 60 90 and 120 cm above thesoil surface were measured At the dry heath soil moisture(SM 300 Delta-T Devices UK) was measured at a depthof 5 10 30 and 50 cm

Ancillary meteorological parameters such as air temper-ature and humidity (HMP 45D Vaisala Finland) radia-tion components (CNR1 Kipp amp Zonen the Netherlands)and precipitation (52203 RM Young Company USA) are

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1398 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table 1 List of parameters and symbols

Name Unit Explanation Location

RSdarr W mminus2 Incoming short-wave radiation Wet fen dry heath Asiaq towerRSuarr W mminus2 Outgoing short-wave radiation Wet fen dry heath Asiaq towerRLdarr W mminus2 Downwelling long-wave radiation Wet fen dry heath Asiaq towerRLuarr W mminus2 Upwelling long-wave radiation Wet fen dry heath Asiaq towerRSnet W mminus2 Net solar radiation (Eq 2) Wet fen dry heath Asiaq towerRLnet W mminus2 Net long-wave radiation (Eq 2) Wet fen dry heath Asiaq towerRnet W mminus2 Net radiation (Eq 2) Wet fen dry heath Asiaq towerAlbedo Surface albedo Wet fen dry heath Asiaq towerTa

C Air temperature Wet fen dry heath Asiaq towerTsurf

C Snow surface temperature Wet fen dry heath Asiaq towerTs

C Soil temperature at 2 and 10 cm depth Wet fen dry heathH W mminus2 Sensible heat flux Wet fen dry heathLE W mminus2 Latent heat flux Wet fen dry heathG W mminus2 Ground heat flux Wet fen dry heathH LE Bowen ratio Wet fen dry heathSnow depth m Snow depth Wet fen dry heath Asiaq towerSoil moisture Soil moisture content Wet fen dry heathMixing ratio g kgminus1 Atmospheric mixing ratio Wet fen dry heathRH Relative humidity Wet fen dry heath Asiaq towerVPD hPa Atmospheric vapour pressure deficit Wet fen dry heath Asiaq towerET mm dayminus1 Evapotranspiration Wet fen dry heathPrecip mm Precipitation Asiaq towerα PriestleyndashTaylor coefficient (Eq 8) Wet fen dry heathu m sminus1 Wind speed Wet fen dry heathulowast m sminus1 Friction velocity Wet fen dry heathra s mminus1 Aerodynamic resistance (Eq 5) Wet fen dry heathrs s mminus1 Surface resistance (Eq 6) Wet fen dry heath McNaughton and Jarvis omega value (Eq 7) Wet fen dry heathNDVI Normalized Difference Vegetation Index Wet fen

provided from a nearby meteorological station operated byAsiaq ndash Greenland Survey This station is located at the sameheath sim 150 m away from the heath eddy covariance towerNormalized Difference Vegetation Index (NDVI) was mea-sured at the wet fen site (SKR 1800 Skye Instruments LtdUK) Power supply for all stations was provided by dieselgenerators from the nearby Zackenberg Research Station(May to October) and by solar panels and a windmill (Su-perwind 350 superwind GmbH Germany) during the periodwhen the research station was closed

23 Data analysis and derived parameters

The surface energy balance of the wet fen and the dry heathis described by

Rnet =H +LE+G+Emelt (1)

where Rnet is the net radiation H is the sensible heat fluxLE is the latent heat flux G is the ground heat flux at thesoil or snow surface and Emelt is the energy flux used forsnowmelt (Table 1) During the snow-free season Emelt iszero When directed away from the surface H LE and G

are positive and Rnet is negative Bowen ratio (H LE) andratios of H Rnet LE Rnet and G Rnet are used to charac-terize relative magnitude of the heat transfer from the surface

The net radiation balance (Rnet) was defined as

Rnet = RS darr +RL darr minus(RS uarr +RL uarr) (2)

where RSdarr and RSuarr are incoming and outgoing short-waveradiation and RLdarr and RLuarr are upwelling and downwellinglong-wave radiation respectively When directed away fromthe surface all radiative components are negative Surfacealbedo was calculated as the quotient between RSdarr and RSuarrMissing values from radiative components at the dry heathsite were filled with measurements from the nearby Asiaqmeteorological tower

Ground heat flux (G) at the soil or snow surface was cal-culated by adding the storage flux in the layer above the heatflux plate (S) to the measured flux

S = Cs1Ts

1td (3)

where 1Ts1t is the change in soil or snow pack temper-ature (K) over time t (s) d is the heat flux plate installa-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1399Ta

ble

2Su

mm

ary

ofpo

larn

ight

and

pre-

mel

tsea

son

Lis

tofm

ean

daily

radi

atio

nco

mpo

nent

san

den

viro

nmen

talc

hara

cter

istic

sdu

ring

the

pola

rnig

htse

ason

san

dpr

e-m

elts

easo

nsin

2012

201

3an

d20

132

014

Pola

rnig

htPr

e-m

elts

easo

n

2012

201

320

132

014

2013

2014

Dur

atio

n10

Nov

ndash4Fe

b10

Nov

ndash4Fe

b5

Febndash

12M

ay5

Febndash

5M

ay

Ave

rage

Ran

geA

vera

geR

ange

Ave

rage

Ran

geA

vera

geR

ange

(sta

ndar

d(s

tand

ard

(sta

ndar

d(s

tand

ard

erro

r)er

ror)

erro

r)er

ror)

RSdarr

(Wmminus

2 )0

00

099

2(8

6)

0ndash58

69

870

(83

)0ndash

577

0R

Suarr(W

mminus

2 )0

00

0minus

819

(68

)0ndashminus

449

5minus

764

(70

)0ndashminus

480

0R

Ldarr

(Wmminus

2 )19

32

(39

)13

34ndash

293

921

31

(47

)14

07ndash

305

718

83

(31

)14

21ndash

269

819

46

(33

)14

13ndash

280

5R

Luarr

(Wmminus

2 )minus

219

2(2

3)minus

176

9ndashminus

295

1minus

237

1(3

1)minus

190

4ndashminus

307

7minus

224

1(2

6)minus

175

5ndashminus

276

5minus

225

7(2

5)minus

173

3ndashminus

285

8R

S net

(Wmminus

2 )0

00

017

1(1

9)

0ndash65

811

0(1

4)

0ndash50

7R

Lne

t(W

mminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)minus

696

ndash77

minus35

4(2

1)minus

674

ndash17

5minus

311

(19

)minus

627

ndash14

2R

net

(Wmminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)69

6ndash7

7minus

180

(18

)minus

440

ndash37

3minus

205

(17

)minus

482

ndash15

3T

a(

C)

minus19

2(0

6)minus

287

ndashminus

48

minus15

2(0

7)minus

278

ndashminus

08

minus18

1(0

7)minus

235

ndashminus

65

minus17

6(0

6)minus

294

ndashminus

385

Tsu

rf

(C

)minus

241

(06

)minus

368

ndashminus

46

minus19

2(0

8)minus

324

ndashminus

17

minus22

8(0

7)minus

373

ndashminus

90

minus22

3(0

7)minus

380

ndashminus

67

Air

pres

sure

(hPa

)10

100

(11

)98

31ndash

1030

610

035

(12

)95

69ndash

1021

310

191

(12

)99

91ndash

1050

010

070

(11

)97

55ndash

1030

4

tion depth (m) and Cs is the soil or snow pack heat capacity(J mminus3 Kminus1) defined as

Cs = ρbCd+ θvρwCw (4)

where ρb is the bulk density Cd is the dry soil heat capac-ity of 840 J kgminus1 Kminus1 (Hanks and Ashcroft 1980) or theheat capacity of ice (2102 J kgminus1 Kminus1) θv is the volumet-ric soil or snow pack water content (m3 mminus3) ρw is the wa-ter density (1000 kg mminus3) and Cw is the water heat capacity(4186 J kgminus1 Kminus1) For ρb a value of 900 kg mminus3 at the heathand 600 kg mminus3 at the fen (Elberling et al 2008) was usedduring the growing season while during the snowmelt pe-riod in 2014 the density of the snow pack was derived fromin situ measurements Since no snow density measurementswere performed during the snowmelt period in 2013 and thesoil surface was not completely snow covered during that pe-riod G in 2013 was not corrected for heat storage within thesnow pack

The aerodynamic resistance (ra s mminus1) determines the tur-bulent heat transfer from the surface and was defined as(Monteith and Unsworth 2013)

ra =u

u2lowast

+ 62uminus067lowast (5)

where u is the wind speed (m sminus1) and ulowast is the friction ve-locity (m sminus1)

Surface resistance (rs s mminus1) as a measure to quantify thestomatal control in the canopy on the turbulent fluxes wascalculated as (Shuttleworth 2007)

rs =

(1

γβ minus 1

)ra+ (1+β)

ρcp

γ

D

A (6)

where 1 is the slope of the saturated vapour pressure curve(Pa Kminus1) γ is the psychrometric constant (Pa Kminus1) β is theBowen ratio ρ is the air density (kg mminus3) cp is the spe-cific heat capacity of air at constant pressure (J kgminus1 Kminus1)D is the atmospheric vapour pressure deficit (Pa) and A isthe available energy for evaporation (RnetminusG W mminus2)

The decoupling coefficient () (Jarvis and McNaughton1986) expresses the degree of interaction between ra and rs

=

(1+

1

1+ γ

rs

ra

)minus1

(7)

The decoupling coefficient varies from 0 to 1 where closeto 0 indicates a strong coupling between the vegetation andthe atmosphere with vapour pressure deficit (VPD) being themain driver of LE whereas close to 1 suggest a decouplingof LE and VPD with Rnet being the main driver for LE

PriestleyndashTaylor coefficient (α) (Priestley and Taylor1972) was calculated as

α =1+ γ

1(1+β) (8)

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

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Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

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Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1398 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table 1 List of parameters and symbols

Name Unit Explanation Location

RSdarr W mminus2 Incoming short-wave radiation Wet fen dry heath Asiaq towerRSuarr W mminus2 Outgoing short-wave radiation Wet fen dry heath Asiaq towerRLdarr W mminus2 Downwelling long-wave radiation Wet fen dry heath Asiaq towerRLuarr W mminus2 Upwelling long-wave radiation Wet fen dry heath Asiaq towerRSnet W mminus2 Net solar radiation (Eq 2) Wet fen dry heath Asiaq towerRLnet W mminus2 Net long-wave radiation (Eq 2) Wet fen dry heath Asiaq towerRnet W mminus2 Net radiation (Eq 2) Wet fen dry heath Asiaq towerAlbedo Surface albedo Wet fen dry heath Asiaq towerTa

C Air temperature Wet fen dry heath Asiaq towerTsurf

C Snow surface temperature Wet fen dry heath Asiaq towerTs

C Soil temperature at 2 and 10 cm depth Wet fen dry heathH W mminus2 Sensible heat flux Wet fen dry heathLE W mminus2 Latent heat flux Wet fen dry heathG W mminus2 Ground heat flux Wet fen dry heathH LE Bowen ratio Wet fen dry heathSnow depth m Snow depth Wet fen dry heath Asiaq towerSoil moisture Soil moisture content Wet fen dry heathMixing ratio g kgminus1 Atmospheric mixing ratio Wet fen dry heathRH Relative humidity Wet fen dry heath Asiaq towerVPD hPa Atmospheric vapour pressure deficit Wet fen dry heath Asiaq towerET mm dayminus1 Evapotranspiration Wet fen dry heathPrecip mm Precipitation Asiaq towerα PriestleyndashTaylor coefficient (Eq 8) Wet fen dry heathu m sminus1 Wind speed Wet fen dry heathulowast m sminus1 Friction velocity Wet fen dry heathra s mminus1 Aerodynamic resistance (Eq 5) Wet fen dry heathrs s mminus1 Surface resistance (Eq 6) Wet fen dry heath McNaughton and Jarvis omega value (Eq 7) Wet fen dry heathNDVI Normalized Difference Vegetation Index Wet fen

provided from a nearby meteorological station operated byAsiaq ndash Greenland Survey This station is located at the sameheath sim 150 m away from the heath eddy covariance towerNormalized Difference Vegetation Index (NDVI) was mea-sured at the wet fen site (SKR 1800 Skye Instruments LtdUK) Power supply for all stations was provided by dieselgenerators from the nearby Zackenberg Research Station(May to October) and by solar panels and a windmill (Su-perwind 350 superwind GmbH Germany) during the periodwhen the research station was closed

23 Data analysis and derived parameters

The surface energy balance of the wet fen and the dry heathis described by

Rnet =H +LE+G+Emelt (1)

where Rnet is the net radiation H is the sensible heat fluxLE is the latent heat flux G is the ground heat flux at thesoil or snow surface and Emelt is the energy flux used forsnowmelt (Table 1) During the snow-free season Emelt iszero When directed away from the surface H LE and G

are positive and Rnet is negative Bowen ratio (H LE) andratios of H Rnet LE Rnet and G Rnet are used to charac-terize relative magnitude of the heat transfer from the surface

The net radiation balance (Rnet) was defined as

Rnet = RS darr +RL darr minus(RS uarr +RL uarr) (2)

where RSdarr and RSuarr are incoming and outgoing short-waveradiation and RLdarr and RLuarr are upwelling and downwellinglong-wave radiation respectively When directed away fromthe surface all radiative components are negative Surfacealbedo was calculated as the quotient between RSdarr and RSuarrMissing values from radiative components at the dry heathsite were filled with measurements from the nearby Asiaqmeteorological tower

Ground heat flux (G) at the soil or snow surface was cal-culated by adding the storage flux in the layer above the heatflux plate (S) to the measured flux

S = Cs1Ts

1td (3)

where 1Ts1t is the change in soil or snow pack temper-ature (K) over time t (s) d is the heat flux plate installa-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1399Ta

ble

2Su

mm

ary

ofpo

larn

ight

and

pre-

mel

tsea

son

Lis

tofm

ean

daily

radi

atio

nco

mpo

nent

san

den

viro

nmen

talc

hara

cter

istic

sdu

ring

the

pola

rnig

htse

ason

san

dpr

e-m

elts

easo

nsin

2012

201

3an

d20

132

014

Pola

rnig

htPr

e-m

elts

easo

n

2012

201

320

132

014

2013

2014

Dur

atio

n10

Nov

ndash4Fe

b10

Nov

ndash4Fe

b5

Febndash

12M

ay5

Febndash

5M

ay

Ave

rage

Ran

geA

vera

geR

ange

Ave

rage

Ran

geA

vera

geR

ange

(sta

ndar

d(s

tand

ard

(sta

ndar

d(s

tand

ard

erro

r)er

ror)

erro

r)er

ror)

RSdarr

(Wmminus

2 )0

00

099

2(8

6)

0ndash58

69

870

(83

)0ndash

577

0R

Suarr(W

mminus

2 )0

00

0minus

819

(68

)0ndashminus

449

5minus

764

(70

)0ndashminus

480

0R

Ldarr

(Wmminus

2 )19

32

(39

)13

34ndash

293

921

31

(47

)14

07ndash

305

718

83

(31

)14

21ndash

269

819

46

(33

)14

13ndash

280

5R

Luarr

(Wmminus

2 )minus

219

2(2

3)minus

176

9ndashminus

295

1minus

237

1(3

1)minus

190

4ndashminus

307

7minus

224

1(2

6)minus

175

5ndashminus

276

5minus

225

7(2

5)minus

173

3ndashminus

285

8R

S net

(Wmminus

2 )0

00

017

1(1

9)

0ndash65

811

0(1

4)

0ndash50

7R

Lne

t(W

mminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)minus

696

ndash77

minus35

4(2

1)minus

674

ndash17

5minus

311

(19

)minus

627

ndash14

2R

net

(Wmminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)69

6ndash7

7minus

180

(18

)minus

440

ndash37

3minus

205

(17

)minus

482

ndash15

3T

a(

C)

minus19

2(0

6)minus

287

ndashminus

48

minus15

2(0

7)minus

278

ndashminus

08

minus18

1(0

7)minus

235

ndashminus

65

minus17

6(0

6)minus

294

ndashminus

385

Tsu

rf

(C

)minus

241

(06

)minus

368

ndashminus

46

minus19

2(0

8)minus

324

ndashminus

17

minus22

8(0

7)minus

373

ndashminus

90

minus22

3(0

7)minus

380

ndashminus

67

Air

pres

sure

(hPa

)10

100

(11

)98

31ndash

1030

610

035

(12

)95

69ndash

1021

310

191

(12

)99

91ndash

1050

010

070

(11

)97

55ndash

1030

4

tion depth (m) and Cs is the soil or snow pack heat capacity(J mminus3 Kminus1) defined as

Cs = ρbCd+ θvρwCw (4)

where ρb is the bulk density Cd is the dry soil heat capac-ity of 840 J kgminus1 Kminus1 (Hanks and Ashcroft 1980) or theheat capacity of ice (2102 J kgminus1 Kminus1) θv is the volumet-ric soil or snow pack water content (m3 mminus3) ρw is the wa-ter density (1000 kg mminus3) and Cw is the water heat capacity(4186 J kgminus1 Kminus1) For ρb a value of 900 kg mminus3 at the heathand 600 kg mminus3 at the fen (Elberling et al 2008) was usedduring the growing season while during the snowmelt pe-riod in 2014 the density of the snow pack was derived fromin situ measurements Since no snow density measurementswere performed during the snowmelt period in 2013 and thesoil surface was not completely snow covered during that pe-riod G in 2013 was not corrected for heat storage within thesnow pack

The aerodynamic resistance (ra s mminus1) determines the tur-bulent heat transfer from the surface and was defined as(Monteith and Unsworth 2013)

ra =u

u2lowast

+ 62uminus067lowast (5)

where u is the wind speed (m sminus1) and ulowast is the friction ve-locity (m sminus1)

Surface resistance (rs s mminus1) as a measure to quantify thestomatal control in the canopy on the turbulent fluxes wascalculated as (Shuttleworth 2007)

rs =

(1

γβ minus 1

)ra+ (1+β)

ρcp

γ

D

A (6)

where 1 is the slope of the saturated vapour pressure curve(Pa Kminus1) γ is the psychrometric constant (Pa Kminus1) β is theBowen ratio ρ is the air density (kg mminus3) cp is the spe-cific heat capacity of air at constant pressure (J kgminus1 Kminus1)D is the atmospheric vapour pressure deficit (Pa) and A isthe available energy for evaporation (RnetminusG W mminus2)

The decoupling coefficient () (Jarvis and McNaughton1986) expresses the degree of interaction between ra and rs

=

(1+

1

1+ γ

rs

ra

)minus1

(7)

The decoupling coefficient varies from 0 to 1 where closeto 0 indicates a strong coupling between the vegetation andthe atmosphere with vapour pressure deficit (VPD) being themain driver of LE whereas close to 1 suggest a decouplingof LE and VPD with Rnet being the main driver for LE

PriestleyndashTaylor coefficient (α) (Priestley and Taylor1972) was calculated as

α =1+ γ

1(1+β) (8)

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

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1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1399Ta

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(68

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449

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764

(70

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Ldarr

(Wmminus

2 )19

32

(39

)13

34ndash

293

921

31

(47

)14

07ndash

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718

83

(31

)14

21ndash

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(33

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13ndash

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(Wmminus

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219

2(2

3)minus

176

9ndashminus

295

1minus

237

1(3

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190

4ndashminus

307

7minus

224

1(2

6)minus

175

5ndashminus

276

5minus

225

7(2

5)minus

173

3ndashminus

285

8R

S net

(Wmminus

2 )0

00

017

1(1

9)

0ndash65

811

0(1

4)

0ndash50

7R

Lne

t(W

mminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)minus

696

ndash77

minus35

4(2

1)minus

674

ndash17

5minus

311

(19

)minus

627

ndash14

2R

net

(Wmminus

2 )minus

270

(18

)minus

548

ndash10

3minus

241

(21

)69

6ndash7

7minus

180

(18

)minus

440

ndash37

3minus

205

(17

)minus

482

ndash15

3T

a(

C)

minus19

2(0

6)minus

287

ndashminus

48

minus15

2(0

7)minus

278

ndashminus

08

minus18

1(0

7)minus

235

ndashminus

65

minus17

6(0

6)minus

294

ndashminus

385

Tsu

rf

(C

)minus

241

(06

)minus

368

ndashminus

46

minus19

2(0

8)minus

324

ndashminus

17

minus22

8(0

7)minus

373

ndashminus

90

minus22

3(0

7)minus

380

ndashminus

67

Air

pres

sure

(hPa

)10

100

(11

)98

31ndash

1030

610

035

(12

)95

69ndash

1021

310

191

(12

)99

91ndash

1050

010

070

(11

)97

55ndash

1030

4

tion depth (m) and Cs is the soil or snow pack heat capacity(J mminus3 Kminus1) defined as

Cs = ρbCd+ θvρwCw (4)

where ρb is the bulk density Cd is the dry soil heat capac-ity of 840 J kgminus1 Kminus1 (Hanks and Ashcroft 1980) or theheat capacity of ice (2102 J kgminus1 Kminus1) θv is the volumet-ric soil or snow pack water content (m3 mminus3) ρw is the wa-ter density (1000 kg mminus3) and Cw is the water heat capacity(4186 J kgminus1 Kminus1) For ρb a value of 900 kg mminus3 at the heathand 600 kg mminus3 at the fen (Elberling et al 2008) was usedduring the growing season while during the snowmelt pe-riod in 2014 the density of the snow pack was derived fromin situ measurements Since no snow density measurementswere performed during the snowmelt period in 2013 and thesoil surface was not completely snow covered during that pe-riod G in 2013 was not corrected for heat storage within thesnow pack

The aerodynamic resistance (ra s mminus1) determines the tur-bulent heat transfer from the surface and was defined as(Monteith and Unsworth 2013)

ra =u

u2lowast

+ 62uminus067lowast (5)

where u is the wind speed (m sminus1) and ulowast is the friction ve-locity (m sminus1)

Surface resistance (rs s mminus1) as a measure to quantify thestomatal control in the canopy on the turbulent fluxes wascalculated as (Shuttleworth 2007)

rs =

(1

γβ minus 1

)ra+ (1+β)

ρcp

γ

D

A (6)

where 1 is the slope of the saturated vapour pressure curve(Pa Kminus1) γ is the psychrometric constant (Pa Kminus1) β is theBowen ratio ρ is the air density (kg mminus3) cp is the spe-cific heat capacity of air at constant pressure (J kgminus1 Kminus1)D is the atmospheric vapour pressure deficit (Pa) and A isthe available energy for evaporation (RnetminusG W mminus2)

The decoupling coefficient () (Jarvis and McNaughton1986) expresses the degree of interaction between ra and rs

=

(1+

1

1+ γ

rs

ra

)minus1

(7)

The decoupling coefficient varies from 0 to 1 where closeto 0 indicates a strong coupling between the vegetation andthe atmosphere with vapour pressure deficit (VPD) being themain driver of LE whereas close to 1 suggest a decouplingof LE and VPD with Rnet being the main driver for LE

PriestleyndashTaylor coefficient (α) (Priestley and Taylor1972) was calculated as

α =1+ γ

1(1+β) (8)

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

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1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

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1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

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Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

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Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

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Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

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Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

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Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1400 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Over ocean and saturated land surfaces the dimensionless αequals 126 but fluctuates depending on surface structure andmeteorological conditions

To assess the full impact of differences in snow accumu-lation on the surface energy exchange the presented resultsfocus on four major subperiods ie polar night pre-melt sea-son snowmelt period and growing season which we definedas follows Polar night is the time period when the sun isbelow the free horizon In Zackenberg the polar night lastsfrom 10 November to 4 February (86 days) The subsequentpre-melt season marks the time period between the polarnight and the first day of snowmelt In spring a steady andconstant decrease in daily average albedo and snow coverthickness until snow cover diminished was defined as thesnowmelt period The beginning of the subsequent grow-ing season was defined as the time when albedo was lowerthan 02 Positive daily average air temperature and top-soillayer temperature (2 cm depth) net radiationgt 0 W mminus2 andalbedo lower than 02 define the growing season

Gap filling of the eddy covariance data was performedbased on a look-up table approach (Falge et al 2002 Re-ichstein et al 2005 Eddy covariance gap-filling amp flux-partitioning tool 2015) using the REddyProcWeb online tool(Max Planck Institute for Biogeochemistry) Due to verylimited data availability at both locations during the secondsnowmelt period in 2014 no gap filling ofH and LE was ap-plied and turbulent fluxes of H and LE were excluded fromthe analysis during that period

3 Results

31 Energy balance closure

The observed slopes of the regressions between availableenergy at the surface (RnetminusG) and the sum of the turbu-lent heat fluxes (H +LE) serve as an indicator for the en-ergy balance closure Figure 2 shows the comparison be-tween mean daily RnetminusG and mean daily H +LE for thetwo study sites The observed slopes at the wet fen are 068during both 2013 and 2014 For the dry heath the slopesare 081 (2013) and 082 (2014) Possible reasons for theobserved energy imbalance at both sites are discussed inSect 41

32 Polar night and pre-melt season

The pattern of snow accumulation during the polar night andpre-melt season differed strongly between the two winters(Fig 1b) There was no distinct development of a closedsnow cover or major events of snow accumulation duringthe first winter (20122013) and by the end of the pre-melt season as little as 009 m of snow pack at the wet fenand 014 m at the dry heath was present The second win-ter (20132014) showed a similar trend in the beginning ofthe winter with snow pack thickness of less than 01 m until

Figure 2 Energy balance closure mean daily available energy(RnetminusG) and turbulent heat fluxes (H +LE) at the wet fen (up-per panels) and the dry heath (lower panels) during the observationperiods in 2013 and 2014

mid-December 2013 After that a snow pack of 08 m de-veloped during two major events of snowfall (17ndash25 Decem-ber 2013 and 21ndash27 January 2014) and by the end of thesecond winter the snow pack reached a thickness of 104 mat the wet fen and 098 m at the dry heath (Fig 3)

In the absence of solar radiation during the polar nightthermal radiation (RLnet) (Table 2) is the sole driver ofthe surface energy balance (Fig 3) Daily average down-welling long-wave radiation (RLdarr) was 193 W mminus2 duringthe first polar winter (20122013) and 213 W mminus2 during thesecond polar winter (20132014) The corresponding valuesfor the upwelling long-wave radiation (RLuarr) were 219 and237 W mminus2 for the two polar winter periods The differencesin long-wave radiation corresponded well with the differ-ences in air and snow surface temperatures The average airtemperature wasminus192 andminus152 C for the two consecutivepolar winter periods and the snow surface temperature wasminus241 andminus192 C respectively Overall average RLnet wasminus27 W mminus2 in 20122013 and minus24 W mminus2 in 20132014The lowest air temperatures (minus337 andminus337 C) and snowsurface temperatures (minus398 and minus399 C) for both polarwinters however were reached shortly after the onset of thepre-melt seasons In 2013 this coldest period was followedby a foehn event with air temperatures just below minus1 C on7 March Incoming solar radiation (RSdarr) showed a continu-ous increase over the pre-melt season with higher values ob-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

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1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

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Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

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Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1401

Figure 3 Polar night and pre-melt seasons of the winters 20122013and 20132014 Characteristics of snow cover development air tem-perature net long-wave radiation (RLnet) and net short-wave radia-tion (SWnet) during the polar night periods and subsequent pre-meltseasons of the winters 20122013 and 20132014 (Asiaq-station)

served during the winter 20122013 compared to 20132014mainly driven by differences in surface albedo

33 Snowmelt season

At the beginning of the snowmelt period in 2013 the veg-etation on both sites was not completely snow coveredSnowmelt started on 13 May and lasted until 29 May(17 days) at the wet fen and until 30 May (18 days) at the dryheath Snow ablation in 2014 however started 7 days earliercompared to 2013 (6 May) but lasted 28 days longer at thedry heath site (27 June) and 25 days longer at the wet fen site(23 June) Daily average air temperatures remained below0 C for most of the snowmelt periods with average values ofminus18 C in 2013 and minus13 C in 2014 (Fig 4) High rates ofsnow ablation after 6 June 2014 coincided with daily averageair temperaturesgt 0 C which peaked on 16 June 2014 with96 C

During the snowmelt period in 2013 albedo decreasedgradually from about 076 in the beginning of the pe-riod down to 015 for the wet fen and 010 for the dryheath (Fig 4) The decrease in albedo happened simulta-neously with a continuous increase in net radiation (Rnet)(Fig 4) However while daily average Rnet remained neg-

ative for most of the first half of the snowmelt period in 2014(Fig 4) positive values dominated the entire snowmelt pe-riod in 2013 Substantial differences in albedo cause thesevariations especially in the beginning of the snowmelt sea-sons when daily average albedo was gt 060 During that pe-riod average albedo at both sites was 071 in 2013 and 079in 2014 These differences in the surface characteristics re-duced average Rnet in 2014 by 41 W mminus2 although incom-ing solar radiation (RSdarr) was 870 W mminus2 higher comparedto 2013 By the end of the snowmelt period in 2013 Rnetaccumulated 761 MJ mminus2 at the dry heath and 943 MJ mminus2

at the wet fen The corresponding values for 2014 were1745 and 2029 MJ mminus2 respectively Due to the loweralbedo during the first snowmelt season the soil experi-enced a faster spring warming compared to 2014 Top-soil layer temperatures (Tsurf) at the dry heath increased by041 C dayminus1 in 2013 and 028 C dayminus1 in 2014 At the wetfen the warming of the soil was 035 C dayminus1 in 2013 and028 C dayminus1 in 2014

Daily average H was small and negative (minus41 W mminus2)during the first 10 days of the snowmelt period in 2013 at thewet fen while it showed slightly positive values (43 W mminus2)at the dry heath (Fig 4) LE increased gradually up to about18 W mminus2 at the wet fen and up to 23 W mminus2 at the dry heath(Fig 4) During this initial period the net radiation increasedgradually up to about 58 W mminus2 at the wet fen and 43 W mminus2

at the dry heath Over the entire snowmelt period H domi-nated over LE at the dry heath (Bowen ratio 17) with meandaily average H and LE of 250 and 149 W mminus2 respec-tively while at the wet fen LE dominated over H (Bowenratio 05) with average H and LE of 76 and 156 W mminus2

(Table 3) By the end of the snowmelt periodH accumulated325 MJ mminus2 at the dry heath and 35 MJ mminus2 at the wet fenThe corresponding values for LE were 227 and 211 MJ mminus2

respectively This corresponds to accumulated evaporation of93 and 86 mm of evaporated water during the entire springsnowmelt at the dry heath and the wet fen

During both years G at the wet fen and the dry heathused sim 10ndash15 of the total energy supplied by Rnet Theprolonged snowmelt period during the second year had noimpact on the magnitude of G However the total amountof energy supplied to the ground was larger in 2014 thanin 2013 At the dry heath average G of 51 W mminus2 in 2013and 51 W mminus2 in 2014 resulted in a total energy consump-tion of 80 MJ mminus2 in the first year and 205 MJ mminus2 inthe second year Similar behaviour was observed at the wetfen where average G of 84 W mminus2 in 2013 and 72 W mminus2

in 2014 added up to a total energy consumption of 102 and286 MJ mminus2 The average latent heat content of snow coverduring the snowmelt period in 2014 was 31 MJ mminus2 whichequals 18 of Rnet at the dry heath and 15 of Rnet at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

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1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

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1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

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Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

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Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

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Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

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Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

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Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1402 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table3Sum

mary

ofsnowm

eltperiodlistofmean

dailysurface

energybalance

andenvironm

entalcharacteristicsduring

thesnow

meltperiod

in2013

and2014

atthew

etfenand

dryheath

site

Wetfen2013

Wetfen2014

Dry

heath2013D

ryheath2014

Duration

13ndash29M

ay6

Mayndash23

June13ndash30

May

6M

ayndash27June

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2603

(193)1110ndash3559

2924(96)

1057ndash38792527

(176)1134ndash3406

2905(87)

1087ndash3805R

Suarr

(Wmminus

2)minus

1347(94)

minus689ndash

minus2046

minus2057

(112)minus

144ndashminus

2735minus

1468(111)

minus442ndash

minus2130

minus2132

(101)minus

271ndashminus

2764R

Ldarr

(Wmminus

2)2729

(56)2375ndash3146

2753(48)

2096ndash33332511

(63)2137ndash2956

2769(47)

2081ndash3336R

Luarr

(Wmminus

2)minus

3203(23)

minus3095ndash

minus3433

minus3141

(31)minus

2643ndashminus

3434minus

3029(23)

minus2935ndash

minus3285

minus3161

(31)minus

2635ndashminus

3632R

Snet (W

mminus

2)1255

(185)297ndash2838

867(78)

186ndash24891059

(159)245ndash2590

773(79)

151ndash3215R

Lnet (W

mminus

2)minus

474(64)

minus833ndash

minus66

minus388

(26)minus

696ndashminus

29minus

517(70)

minus974ndash

minus73

minus392

(28)minus

802ndashminus

19R

net (Wmminus

2)781

(130)186ndash2005

479(82)

minus81ndash1926

542(101)

128ndash1682381

(77)minus

143ndash2414A

lbedo057

(003)031ndash078

068(002)

0026ndash090063

(004)017ndash080

073(001)

047ndash092H

(Wmminus

2)76

(43)minus

91ndash528ndash

ndash250

(65)minus

48ndash995ndash

ndashL

E(W

mminus

2)156

(22)33ndash402

ndashndash

149(18)

35ndash302ndash

ndashG

(Wmminus

2)84

(12)40ndash230

72(12)

minus23ndash383

51(04)

17ndash8551

(11)minus

18ndash371T

a(C

)minus

16(04)

minus37ndash30

minus14

(07)minus

107ndash96minus

16(04)

minus37ndash30

minus12

(06)minus

107ndash96T

s(C

)lowast

minus68

(06)minus

105ndashminus

03minus

63(06)

minus118ndash17

minus24

(05)minus

77ndash03minus

48(07)

minus114ndash35

Airpressure

(hPa)10170

(10)10113ndash10253

10149(09)

10004ndash1028010170

(10)10113ndash10253

10145(09)

10004ndash10280E

T051

(008)012ndash141

ndashndash

052(007)

013ndash106ndash

ndash

lowastM

easuredat2

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

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1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

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Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

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Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

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Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1403

Figure 4 Snowmelt periods 2013 and 2014 Development of mean daily snow cover thickness albedo net radiation (Rnet) sensible heatfluxes (H ) latent heat fluxes (LE) and ground heat fluxes (G) at the wet fen (left panels) and dry heath (right panels) during the snowmeltperiod in 2013 and 2014 and first 5 days of the growing season in 2013 and 2014

34 Growing season

341 Season length and meteorological conditions

The growing season in 2013 lasted 101 days at the wetfen (30 Mayndash8 September) and 100 days at the dry heath(31 Mayndash8 September) Compared to 2013 the seasonin 2014 was 30 days shorter on the wet fen (24 Junendash4 September) and 31 days shorter at the dry heath (28 Junendash4 September) The length of the growing season in the firstyear clearly exceeds the average 2000ndash2010 length (78 days)while the second year shows below-average length of thegrowing season (Lund et al 2014) Mean JulyndashAugust airtemperatures (Ta) were similar in both years reaching 65 Cin the first year and 63 C in the second year mean Ta overthe entire growing seasons were lower in 2013 (53 C) com-pared to 2014 (61 C) (Fig 5) Growing season air tem-perature in 2013 was slightly below the 2000ndash2010 average(55 C) (Lund et al 2014) and above average in 2014 Totalamount of precipitation during both years clearly exceed the2000ndash2010 average of 272 mm (Lund et al 2014) reaching80 mm in 2013 and 655 mm in 2014 In 2013 pronouncedevents of rainfall (gt 5 mm dayminus1) occurred at the end of thegrowing season while in the second year precipitation mainlyfell shortly after snowmelt and in late August (Fig 5)

342 Radiation balance

During the growing season in 2013 mean daily Rnet wasslightly higher at the wet fen (1142 W mminus2) compared to

the dry heath (1114 W mminus2) (Table 4) while during JulyndashAugust both sites showed similar Rnet (sim 93 W mminus2) Com-pared to 2013 mean daily Rnet was slightly higher dur-ing JulyndashAugust 2014 with 943 W mminus2 at the wet fen and986 W mminus2 at the dry heath but lower over the entire grow-ing season with 1002 and 989 W mminus2 respectively (Table 4Fig 6) By the end of the season in 2013 accumulated Rnetwas 10066 MJ mminus2 at the wet fen and 9674 MJ mminus2 at thedry heath compared to 6322 and 5895 MJ mminus2 in 2014 Thisincrease of accumulated Rnet by 59 (fen) and 64 (heath)in 2013 relates to the earlier onset of the growing seasonBy 24 June 2013 accumulated Rnet at the wet fen reached406 MJ mminus2 during the first 25 days of the growing seasonwhile in 2014 the growing season started on 24 June and thesurface was thus still snow covered until that date Similarvalues were observed at the dry heath (423 MJ mminus2)

In 2013 mean surface albedo at both sites increased grad-ually during the growing season and reached its maximumtowards the end of the season Over the entire growing sea-son albedo was higher at the wet fen (020) compared to thedry heath (016) During a snowfall event on 30 August 2013albedo increased up to 032 Similar trends in albedo wereobserved in 2014 but mean surface albedo over the entiregrowing season was lower compared to 2013 with 017 at thewet fen and 013 at the dry heath The differences betweenthe 2 years are more pronounced during the period JulyndashAugust when mean albedo was 020 (2013) and 016 (2014)at the wet fen and 016 (2013) and 012 (2014) at the dryheath The pronounced visible differences in greenness dur-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

Aubinet M Vesala T and Papale D Eddy Covariance A Practi-cal Guide to Measurement and Data Analysis Springer Nether-lands Dordrecht 438 pp 2012

Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1404 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Table4Sum

mary

ofgrowing

seasonListofm

eandaily

surfaceenergy

balanceand

environmentalcharacteristics

duringthe

growing

seasonsin

2013and

2014atthe

wetfen

anddry

heathsite

Wetfen

Dry

heath

20132014

20132014

Duration

30M

ayndash8Sep

24Junndash4

Sep31

Mayndash8

Sep28

Junndash4Sep

Average

Range

Average

Range

Average

Range

Average

Range

(standard(standard

(standard(standard

error)error)

error)error)

RSdarr

(Wmminus

2)2115

(109)177ndash3693

1790(108)

174ndash37512104

(109)157ndash3696

1712(107)

157ndash3706R

Luarr

(Wmminus

2)minus

3617(14)

minus3292ndash

minus3906

minus3644

(16)minus

3401ndashminus

3982minus

3560(15)

minus3194ndash

minus3817

minus3662

(18)minus

3403ndashminus

3999R

Ldarr

(Wmminus

2)3051

(22)2574ndash3509

3140(25)

2608ndash35702915

(28)2265ndash3486

3136(26)

2614ndash3565R

Suarr

(Wmminus

2)minus

411(22)

minus21ndashminus

831minus

283(18)

minus21ndashminus

569minus

407(22)

minus21ndashminus

749minus

197(13)

minus07ndashminus

439R

Snet (W

mminus

2)1704

(87)157ndash2983

1507(91)

153ndash32221697

(88)136ndash2983

1515(94)

150ndash3364R

Lnet (W

mminus

2)minus

566(28)

minus984ndash

minus24

minus505

(31)minus

984ndashminus

45minus

714(35)

minus1119ndash

minus44

minus526

(34)minus

1048ndashminus

45R

net (Wmminus

2)1142

(64)52ndash2083

1002(71)

minus20ndash2319

1114(61)

63ndash2013989

(70)03ndash2468

Albedo

020(0003)

013ndash031017

(0005)007ndash028

016(0004)

008ndash032013

(0006)006ndash026

H(W

mminus

2)415

(34)minus

238ndash1017266

(29)minus

295ndash851626

(46)minus

259ndash1495369

(38)minus

296ndash1077L

E(W

mminus

2)252

(15)18ndash572

233(20)

minus59ndash657

160(06)

36ndash391293

(18)59ndash690

G(W

mminus

2)108

(09)minus

39ndash565152

(13)minus

21ndash47556

(03)minus

15ndash169101

(09)minus

04ndash373H

LE

16(01)

016ndash4311

(01)028ndash309

43(02)

003ndash8316

(01)028ndash309

HR

net036

(001)003ndash057

027(001)

001ndash040054

(002)011ndash088

038(001)

005ndash056L

ER

net022

(001)004ndash061

023(001)

001ndash035018

(001)008ndash056

033(001)

012ndash070G

Rnet

012(001)

004ndash061017

(001)001ndash035

005(0003)

007ndash056010

(001)012ndash070

Ta

(C

)53

(03)04ndash119

58(03)

05ndash12953

(03)04ndash119

61(03)

21ndash129T

s(C

)lowast

40(03)

minus20ndash83

50(02)

minus06ndash96

ndashndash

33(02)

minus05ndash65

Soilmoisture

()

ndashndash

ndashndash

190(04)

131ndash322336

(02)314ndash383

Airpressure

(hPa)10044

(07)9894ndash10183

10099(06)

9996ndash1019310043

(07)9894ndash10183

10099(06)

9996ndash10193M

ixingratio

(gkgminus

1)66

(02)41ndash109

65(02)

42ndash11266

(02)41ndash109

66(02)

46ndash112R

H(

)711

(16)339ndash972

765(18)

424ndash986712

(16)339ndash971

755(19)

424ndash986V

PD(hPa)

24(02)

03ndash6720

(02)01ndash65

24(02)

03ndash6722

(02)01ndash65

ET

(mm

dayminus

1)089

(005)006ndash20

082(007)

minus021ndash231

056(002)

013ndash138103

(006)021ndash243

α060

(002)006ndash105

069(003)

022ndash114044

(002)006ndash116

074(002)

015ndash104u

(msminus

1)27

(01)14ndash110

24(02)

10ndash9928

(02)14ndash124

25(02)

10ndash103ulowast

(msminus

1)025

(001)012ndash091

022(002)

009ndash095024

(002)009ndash112

020(001)

009ndash080ra

(smminus

1)742

(05)48ndash1596

815(07)

52ndash15941074

(10)44ndash3373

1197(13)

72ndash3367rs

(smminus

1)2177

(70)655ndash4550

1654(84)

525ndash44155557

(219)932ndash9229

2467(108)

642ndash4281

038(001)

002ndash071048

(002)001ndash074

030(001)

014ndash063052

(001)036ndash076

ND

VI

045(0004)

001ndash068049

(0006)003ndash074)

ndashndash

ndashndash

lowastM

easuredat10

cmdepth

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1405

Figure 5 Growing seasons 2013 and 2014 Development of meandaily air temperature precipitation incoming solar radiation (RSdarr)and vapour pressure deficit (VPD) during the growing seasonsin 2013 and 2014 (Asiaq-station)

ing the two growing seasons (Fig 1b) was also reflected inaverage NDVI with higher values observed in 2014 (049)compared to 2013 (045) (Table 4)

343 Turbulent heat fluxes

The magnitude of the turbulent heat fluxes and the totalamount of accumulated energy by H and LE revealed re-markable differences between the 2 years (Figs 6 and 7)Over the entire growing season in 2013 average fluxes ofH and LE used 56 (626 W mminus2) and 14 (160 W mminus2)respectively of Rnet at the dry heath The correspondingvalues for the wet fen were 37 (415 W mminus2) and 30 (252 W mminus2) respectively (Table 4) This clear dominanceof H over LE at both locations is also reflected in the av-erage Bowen ratio (H LE) which reached a maximum of39 at the dry heath and 16 at the wet fen

During 2014 LE at the dry heath used 26 (293 W mminus2)of Rnet (Table 4) This corresponds to an almost doubling ofLE compared to 2013 Mean fluxes of H at the dry heathwere 366 W mminus2 and H used 37 of Rnet Average Bowenratio reached 13 which indicates a growing importance ofLE at the dry heath compared to 2013 At the wet fen mean

daily LE was 233 W mminus2 and LE used 25 ofRnet The cor-responding value forH was 266 W mminus2 andH used 29 ofRnet Average Bowen ratio reached 11

From the first day after snowmelt until the last day of thegrowing season in 2013 accumulated H was 5462 MJ mminus2

at the dry heath and 3657 MJ mminus2 at the wet fen whileaccumulated LE was 1399 and 2220 MJ mminus2 respectively(Fig 7) By the end of the growing season in 2014 how-ever accumulated H was 2202 MJ mminus2 at the dry heath and1678 MJ mminus2 at the wet fen The corresponding values forLE were 1747 and 1469 MJ mminus2 respectively (Fig 7) Theobserved values of accumulated H at the dry heath dur-ing 2014 correspond to a decrease in accumulated H by60 and an increase in accumulated LE by 24 comparedto 2013 At the wet fen accumulated H and LE in 2014 cor-respond to a decrease by 44 and 33 respectively comparedto 2013

The total accumulated evapotranspiration (ET) differedsignificantly between the seasons (Fig 8) At the wet fentotal ET reached 91 mm during the growing season in 2013and 48 mm in 2014 These values correspond to sim 114 andsim 73 of the total precipitation during the growing sea-sons within the corresponding years However total ET atthe dry heath remained below the growing season precipi-tation during the first growing season (57 mm sim 71 ) andexceeded precipitation in the second growing season (80 mmsim 122 )

344 Controls of evapotranspiration

During both growing seasons lower wind velocity at the dryheath compared to the wet fen resulted in slightly larger aero-dynamic resistances (ra) at the latter site Daily average rashowed no clear difference between the 2 years ranging be-tween 75 and 82 s mminus1 in both years at the wet fen The cor-responding values at the dry heath were between 107 and120 s mminus1 with slightly larger variability compared to the wetfen (Fig 9) No significant changes during the course of bothgrowing seasons indicate that ra appeared to be independentof RSdarr and Rnet and therefore mainly driven by atmosphericconditions

The surface resistance (rs) during both growing seasonshowever was characterized by large differences between thewet fen and the dry heath and high daily fluctuations at thelatter site (Fig 9) Daily average rs at the dry heath rangedfrom 93 to 923 s mminus1 in 2013 and from 64 to 428 s mminus1

in 2014 with higher mean rs in 2013 (556 s mminus1) com-pared to 2014 (247 s mminus1) During the first growing sea-son rs showed a general increase with increasing air tem-perature (Ta) ranging from sim 455 s mminus1 when Talt 0 C tosim 804 s mminus1 when Tagt 12 C During the second growingseason rs decreased from sim 297 s mminus1 when Talt 0 C tosim 210 s mminus1 when Ta was between 3 and 6 C followed bya slight increase to 250 s mminus1 when Tagt 12 C However nosuch trend was observed at the wet fen and the surface resis-

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1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

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1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

Aubinet M Vesala T and Papale D Eddy Covariance A Practi-cal Guide to Measurement and Data Analysis Springer Nether-lands Dordrecht 438 pp 2012

Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1406 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Figure 6 Growing season energy fluxes Mean daily net radiation (Rnet) sensible heat flux (H ) latent heat flux (LE) and ground heatflux (G) at the wet fen and dry heath during the growing seasons in 2013 (left panels) and 2014 (right panels)

Figure 7 Development of internal energy Accumulated ground heat (G) latent heat (LE) and sensible heat (H ) at the wet fen (left panels)and the dry heath (right panels) during the growing seasons in 2013 and 2014

Figure 8 Development of soil moisture conditions (10 cm depth)and evapotranspiration (ET) Mean daily soil moisture content atthe dry heath (left panel) and cumulative ET at the wet fen and dryheath during the growing season in 2013 and 2014 (right panel)

tance had no pronounced daily fluctuations with daily aver-ages ranging between 53 and 455 s mminus1

The McNaughton and Jarvis decoupling factor () ex-presses the degree of aerodynamic and radiative coupling be-tween the vegetation and the atmosphere The wet fen andthe dry heath were characterized by mean daily below orclose to 05 during both growing seasons which indicates arelatively high contribution of VPD on the control of ET (Ta-ble 4 Fig 9) However mean daily during the first grow-ing season was lower at the dry heath (030) compared to the

wet fen (038) but showed a reverse trend during the secondyear with 052 compared to 048 The general decrease in over the course of the first season at the dry heath terminatedaround mid-August and started to increase for the rest ofthe season Similar behaviour for was observed at the wetfen where started to increase around late August The sec-ond growing season showed a general decrease in at bothsites During both growing seasons gradually decreasedas rs increased The PriestleyndashTaylor coefficient (α) showedlarge day-to-day variations particularly at the wet fen rang-ing between 005 and 106 in 2013 and 021 and 113 in 2014The seasonal mean of α was 060 and 069 with a standarderror of 002 and 003 for the respective seasons The day-to-day variation was less pronounced at the dry heath withseasonal means of 044 and 074 and standard error of 002for both years (Table 4 Fig 9)

345 Ground heat flux and soil properties

G was the smallest flux in both ecosystems but due to thestrong heat sink of permafrost G is a vital component ofthe surface energy budget in this high-latitude environment

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

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Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

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Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

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C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1407

Figure 9 Omega alpha aerodynamic resistance and surface resistance Mean daily (empty circles) and 5-day running mean (solid line)of McNaughton and Jarvis decoupling factor (omega) Priestley and Taylor alpha value (alpha) aerodynamic resistance (ra) and surfaceresistance (rs) at the wet fen (left panels) and dry heath (right panels) during the growing seasons in 2013 and 2014

The differences in snow cover between the 2 years causeddistinct differences in the soil water content during the twogrowing seasons with strong impact on the partitioning ofRnet into G at the dry heath Average soil moisture con-tent at the dry heath of 19 in 2013 and 34 in 2014 re-strained thermal conductivity more during 2013 than dur-ing 2014 Consequently only 5 of Rnet (56 W mminus2) waspartitioned intoG in 2013 while during 2014G used 10 ofRnet (101 W mminus2) At the wet fen mean daily G used 12 of Rnet (108 W mminus2) in 2013 while in 2014 G used 17 ofRnet (152 W mminus2)

During the course of the two growing seasons G reachedits maximum shortly after snowmelt due to the strong ther-mal gradient between the soil surface and the underlying per-mafrost (Fig 6) However the low soil moisture content atthe dry heath during the first growing season weakened theG signal after the snowmelt No clear seasonal trend in thedevelopment of G to Rnet was observed for both growingseasons and locations By the end of the first growing sea-son accumulated G was 487 MJ mminus2 at the dry heath and947 MJ mminus2 at the wet fen (Fig 7) Increased thermal con-ductivity due to higher soil moisture content in 2014 com-pared to 2013 amplified the total amount of accumulated Gat the dry heath in the latter year although prolonged snowcover reduced the length of the second growing season Bythe end of the second growing season accumulated G was601 MJ mminus2 at the dry heath (+23 compared to 2013)

while at the wet fen no clear difference in accumulated Gwas observed (956 MJ mminus2)

35 Total surface energy balance of the snowmeltseason and growing season

From the first day of the beginning of the snowmelt perioduntil the last day of the growing season in 2013 Rnet accu-mulated 10435 MJ mminus2 at the dry heath and 11009 MJ mminus2

at the wet fen The corresponding values for 2014 were7640 and 8351 MJ mminus2 respectively Accumulated groundheat flux for the same time period was 567 MJ mminus2 at thedry heath and 1038 MJ mminus2 at the wet fen in 2013 and832 and 1253 MJ mminus2 in 2014 respectively These valuescorrespond to a total amount of accumulated available en-ergy at the surface (RnetminusG) of 9868 MJ mminus2 at the dryheath and 9971 MJ mminus2 at the wet fen in 2013 In 2014RnetminusG was 6834 MJ mminus2 at the dry heath and 7118 MJmminus2 at the wet fen which compared to 2013 relates to a de-crease in available energy at the surface by minus31 and minus29 respectively

In 2013 the amount of total H loss was 5787 MJ mminus2 atthe dry heath and 3692 MJ mminus2 at the wet fen while total LEloss was 1626 and 2431 MJ mminus2 respectively These valuesadd up to a total energy consumption ofH and LE (H +LE)of 7413 MJ mminus2 at the dry heath and 6123 MJ mminus2 at thewet fen

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

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Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

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Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

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Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

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Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

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Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

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Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

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Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1408 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

4 Discussion

41 Energy balance closure and system performance

The observed values of energy balance closure lie in therange of other energy balance closure terms reported fromvarious field studies in Arctic environments (Westerman etal 2009 Langer et al 2011 Liljedahl et al 2011) and are ingood agreement with earlier long-term observations from thedry heath (Lund et al 2014) Studies on the closure problemof eddy covariance measurements highlight the landscapeheterogeneity as a driving factor for the lack of closure (Stoyet al 2013) but also stress the importance of measurementscales (Foken 2008) Due to the striking small-scale hetero-geneity of soil moisture availability and vegetation cover inArctic landscapes measurements of point-scaleG and radia-tive components may not represent the large source area ofeddy covarianceH and LE However at our sites a flux foot-print analysis at the dry heath revealed that fluxes of H andLE on average originate from the Cassiope heath (Lund etal 2012) while the highest contribution of fluxes at the wetfen originates from the continuous fen area (Tagesson et al2012) Large variability in soil heat capacity due to spatialvariation in soil moisture may account for underrepresenta-tion of the stored energy between the heat flux plates and thesoil surface within the eddy covariance flux footprint area(Leuning et al 2012) Additional uncertainty in the assess-ment of G arises from small-scale variation in active layerdepth and soil thermal gradients

Previous studies have shown large high-frequency flux at-tenuation of traditional closed-path gas analysers (Haslwan-ter et al 2009) such as used in this study at the dry heathsite caused by tube walls and tube age (Su et al 2004Massman and Ibrom 2008) and tube length (Novik et al2013) Enclosed-path systems however reduce flux atten-uation compared to traditional closed-path systems due toshorter tube length (Burba et al 2010 Novick et al 2013)Sample screening of cospectra at our two study sites (datanot shown) showed that frequency losses for water vapourand sensible heat flux were more pronounced at the wet fen(enclosed-path system) compared to the dry heath (closed-path system) At both locations the attenuation is generallygreater for water vapour flux than for sensible heat flux andat higher frequencies (ngt 01) normalized cospectra for wa-ter vapour flux was lower at the wet fen compared to the dryheath Interannual comparison of cospectra for both wet fenand dry heath showed similar behaviour of water vapour andsensible heat flux Thus we conclude that besides the het-erogeneity of the tundra surfaces high-frequency losses ofboth water vapour and sensible heat fluxes contribute to theobserved surface energy imbalance However since surfaceenergy imbalance is consistent over the 2 study years we areconfident that the measured surface energy balance compo-nents are adequately represented for the purpose of this study

42 Snow cover and surface energy budget

The disappearance of the snow cover and the onset of thegrowing season coincide with the time period when incom-ing solar radiation (RSdarr) is at its annual peak and the sur-face (soil or snow) receives high irradiance from RSdarr Dur-ing the snowmelt period most of Rnet is used for warmingand melting of the snow pack and therefore not available foratmospheric warming through sensible heat fluxes This pat-tern was reflected in the average air temperature of the twosnowmelt periods which showed only small differences be-tween 2013 and 2014 although the snowmelt period in 2014was much longer compared to 2013 The combination ofsnow layer thickness snow physical properties such as den-sity or grain size (Warren 1982) the fraction of exposed darkunderlying surface and type of vegetation (Sturm and Dou-glas 2005) controls the snow and soil surface albedo withdirect impact on Rnet Our results showed that low and partlyabsent snow cover in the winter 20122013 resulted in a shortsnowmelt period dominated by low albedo of the snowndashsoilsurface and increased average Rnet Simultaneously sensibleheat fluxes dominated at the dry heath while latent heat fluxesdominated at the wet fen Relatively thick snow cover and aprolonged snowmelt period in 2014 increased surface albedoand limited average Rnet Further the total energy accumu-lated by Rnet during the snowmelt period was higher in 2014compared to 2013

During the snowmelt period only a small fraction ofRnet can be used by plants for growth and development asthe snow reflects most of the incoming solar radiation andsustains relatively low surface temperatures (Walker et al2001) Consequently a prolonged period of snow cover andsnowmelt at our study sites in 2014 delayed the onset of thegrowing season and limited the amount of totalRnet availablefor plant metabolism In coherence with that the magnitudeof the surface energy balance components and the partition-ing of Rnet into H LE and G continued to be influencedby the presence of the snow An earlier disappearance of thesnow in 2013 however was related to an earlier increase inthe magnitude of Rnet at the surface which facilitated earlierplant development and growth soil warming and permafrostactive layer development through G evapotranspirative heatloss through LE and atmospheric warming through H

The disappearance of the snow and related increase in sur-face heating mark the transition into a convective summer-type precipitation regime (Callaghan et al 2011b) whichinitiates a rapid and distinct change in both plant metabolismand surface energy balance Ongoing and predicted climatechange however promotes an increase in atmospheric mois-ture winter snowfall over land areas (Rawlins et al 2010)and variability in the amount of snowfall (Callaghan et al2005 Kattsov et al 2005 Stocker et al 2013) while highertemperatures stimulate an earlier snowmelt and transition toconvective precipitation patterns (Groisman et al 1994) Weobserved that the impact of this variability in snow cover and

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

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Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

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Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

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Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

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I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

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Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1409

snowmelt on the seasonal surface energy budget is stronglyconnected to the storage of meltwater in the soil and its evap-oration and transpiration over the subsequent growing sea-son A higher proportion of soil moisture combined with ahigh atmospheric moisture demand generally stimulates ETIn our study the impact of the availability of soil moisturefrom snowmelt and its loss through ET on the surface en-ergy budget was most pronounced at the heath Here we ob-served that low soil moisture content and lack of summer-time precipitation in 2013 amplified H at the cost of LE andG while increased soil moisture in 2014 and a pronouncedrainfall event in the middle of the growing season favouredLE and G at the cost of H Further the Bowen ratio of theheath during the same year showed that energy partitioninginto H and LE was similar to the wet fen In contrast thewet fen showed attenuated behaviour of LE ET H and G tothe variability in snow meltwater as the fen receives its mois-ture supply mostly from minerotrophic water supply whichremained relatively stable over the 2 study years Growingseason variability in the partitioning of the surface energybalance components was also observed at a polygonal tundrasite in Siberia (Boike et al 2008) However the observeddifferences were mainly driven by variability in summertimeprecipitation

Negative water balances during the growing season withET exceeding precipitation are common in high-latitudeecosystems (Woo et al 1992) Depending on the type of wa-ter supply tundra ecosystems may therefore experience dif-ferential responses to climate variability and climate change(Rouse 2000 Boike et al 2008) At the wet fen our obser-vations showed negative water balances during the growingseason 2013 but the loss of water through ET was compen-sated by moisture supply from soil moisture Consequentlythe partitioning of Rnet into LE showed only small differ-ences between the two growing seasons At the dry heath thegrowing season in 2013 ended with a positive water balanceHowever this was related to both pronounced precipitationat the end of the season and low rates of ET due to decliningRnet During most of the season snow meltwater was the onlysupplier of soil moisture and the small amount of snow melt-water was evaporated relatively soon after snowmelt Conse-quently for most parts of the remaining season the soil wasnot able to supply moisture for ET This resulted in low LErelatively low soil thermal conductivity and G and a cleardominance ofH During the growing season in 2014 the wa-ter balance of the heath was negative over the entire seasonbut the soil experienced greater saturation from snow melt-water storage which was reflected in the partitioning of thesurface energy balance towards a greater share of LE and Gon Rnet

The effects of VPD soil moisture and air temperature onplant stomata and the impact of rs on ET and LE have beendocumented for a large number of species and ecosystems(Losch and Tenhunen 1983 Lafleur and Rouse 1988 Ka-surinen et al 2014) At the dry heath the observed val-

ues of rs suggest strong vegetation response to the differentregimes of snow and surface wetness in the 2 study yearscompared to previous studies (Soegaard et al 2001 Lund etal 2014) while at the wet fen attenuated behaviour of rswas observed Arctic ecosystems are generally characterizedby a high proportion of free water and mosses which un-like vascular plants limit moisture transfer during high VPDHowever the concept of surface resistance neglects this con-tribution of free water and non-vascular plants (Kasurinen etal 2014) and therefore the application of rs and is diffi-cult in Arctic environments The seasonal differences in rs atthe dry heath may also be explained by the characteristics ofthe growing season precipitation regimes and water contentof the mossndashsoil layer (McFadden et al 2003) Bowen ratiors and were closely coupled to precipitation resulting in adecrease in Bowen ratio rs and during periods of rainfallwhile longer periods without precipitation resulted in highvalues of Bowen ratio rs and This behaviour for all pa-rameters was more pronounced in 2013 compared to 2014In 2013 the combined effects of low soil moisture lack ofprecipitation during the period with relatively high RSdarr andhigh VPD may be responsible for the observed magnitudes

Variability of snow cover and length of the growing seasonis not only reflected in the partitioning of the surface energybalance components More important total accumulatedRnetincreases with increased length of the snow-free period Fur-ther any increase in the length of the snow-free season orin summer temperatures is manifested in a general increasein ET resulting in negative water balances over the snow-free season when precipitation shows no increase (Eugsteret al 2000) Our results showed that with the onset of thesnowmelt period and growing season during the part of theyear when incoming solar radiation is at its peak an earlieronset of the growing season of approx 4 weeks resulted indramatic differences in accumulated energy fluxes at the endof the growing season Summarizing the increased amountof accumulatedRnet contributed to increased ET and surficialheat loss from LE soil and permafrost warming through Gand atmospheric warming through H

5 Conclusions and outlook

In this study we documented the effects of variability in snowaccumulation on the surface energy balance of a high-Arctictundra ecosystem in Northeast Greenland during 2 subse-quent years (2013ndash2014) The most important findings in-clude the following

ndash low snow cover during the winter 20122013 promotedlow surface albedo and positive daily average Rnet overthe snowmelt period in 2013 while extensive snow coverduring the winter 20132014 resulted in high albedo andreduced Rnet during the snowmelt period in 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

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Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1410 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

ndash the heathrsquos energy budget was strongly affected by thevariability in snow cover resulting in substantial heatloss byH at the cost of LE andG in 2013 while in 2014LE and G showed a strong increase at the cost of H Incontrast the wet fen showed attenuated response to thevariability in snow cover due to differences in the localhydrological settings

ndash at both sites the variation in the length of the snowmeltperiods and growing seasons was manifested in substan-tial differences in the total amount of accumulated en-ergy balance components

Among the research community mean values of the climaticsite conditions surface energy and carbon exchange havebeen regarded as powerful indicators for ecosystem produc-tivity and model evaluation is widely based on these param-eters However the frequency and magnitude of weather ex-tremes and the pace of ongoing climate change are majorchallenges for ecosystems all over the planet In the Arcticand subarctic the closely coupled hydrological biologicaland soil thermal regimes respond nonlinearly to a myriad ofcontrolling factors (Liljedahl et al 2011) It is therefore es-sential to further incorporate such data of weather extremesinto research and modelling tools (Jentsch et al 2007) espe-cially in the Arctic and subarctic where the lack of observa-tional studies results in a blur picture of high-latitude ecosys-tem response and contribution to climate change The resultsof this study may be a valuable contribution for modellingtools as it is to our knowledge the first study that evaluatesthe impact of successive snow cover variability on the landndashatmosphere interactions and surface energy balance compo-nents in Greenlandic tundra ecosystems

Author contributions The original idea for the paper was sug-gested by C Stiegler M Lund and A Lindroth and discussed anddeveloped by all authors M Lund and C Stiegler performed thedata analysis C Stiegler prepared the manuscript with contribu-tions from all co-authors

Acknowledgements We thank GeoBasis programme for runningand maintaining the flux measurement systems Asiaq ndash Green-land Survey GEM and ClimateBasis programme for providingmeteorological observations and Zackenberg Ecological ResearchOperations for facilitating logistics This work forms part of theNordic Centres of Excellence DEFROST and eSTICC and theEU FP7 project INTERACT

Edited by M van den Broeke

References

Aubinet M Vesala T and Papale D Eddy Covariance A Practi-cal Guide to Measurement and Data Analysis Springer Nether-lands Dordrecht 438 pp 2012

Bay C Vegetation mapping of Zackenberg valley NortheastGreenland Polar Center amp Botanical Museum Copenhagen1998

Becker A Finger P Meyer-Christoffer A Rudolf B SchammK Schnieder U and Ziese M A description of the globalland-surface precipitation data products of the Global Precipita-tion Climatology Centre with sample applications including cen-tennial (trend) analysis from 1901ndashpresent Earth Syst Sci Data5 71ndash99 doi105194essd-5-71-2013 2013

Bintanja R and Selten F M Future increases in Arctic precipita-tion linked to local evaporation and sea-ice retreat Nature 509479ndash482 doi101038nature13259 2014

Bintanja R and van der Linden E C The changing seasonal cli-mate in the Arctic Scient Rep 3 1556 doi101038srep015562013

Boike J Wille C and Abnizova A Climatology and sum-mer energy and water balance of polygonal tundra in theLena River Delta Siberia J Geophys Res 113 G03025doi1010292007JG000540 2008

Bokhorst S Bjerke J W Bowles F W Melillo J M CallaghanT V and Phoenix G K Impacts of extreme winter warming inthe sub-Arctic growing season responses of dwarf shrub heath-land Global Change Biol 14 2603ndash2612 doi101111j1365-2486200801689x 2008

Bokhorst S Bjerke J W Street I E Callaghan T V andPhoenix G K Impacts of multiple extreme winter warm-ing events on sub-Arctic heathland Phenology reproductiongrowth and CO2 flux responses Global Change Biol 17 2817ndash2830 doi101111j1365-2486201102424x 2011

Burba G G McDermitt D K Anderson D J Furtaw M Dand Eckles R D Novel design of an enclosed CO2H2O gasanalyser for eddy covariance flux measurements Tellus B 62743ndash748 doi101111j1600-0889201000468x 2010

Callaghan T V Bjoumlrn L O Chapin III F S Chernov YI Christensen T R Huntley B Ims R Johansson MRiedlinger D J Jonasson S Matveyeva N Oechel WPanikov N and Shaver G Chapter 7 Arctic tundra and polardesert ecosystems in Arctic Climate Impact Assessment Cam-bridge University Press Cambridge 243ndash352 2005

Callaghan T V Johansson M Anisimov O Christiansen H HInstanes A Romanovsky V and Smith S Chapter 4 Chang-ing snow cover and its impacts in Snow Water Ice and Per-mafrost in the Arctic (SWIPA) Arcitc Monitoring and Assess-ment Programme (AMAP) Oslo 1ndash58 2011a

Callaghan T V Johansson M Brown R D Groisman P YLabba N Radionov V Bradley R Blangy S Bulygina ON Christensen T R Colman J E Essery R L H ForbesB C Forchhammer M C Golubev V N Honrath R E Ju-day G P Meshcherskaya A V Phoenix G K Pomeroy JRautio A Robinson D A Schmidt N M Serreze M CShevchenko V P Shiklomanov A I Shmakin A B Skoumlld PSturm M Woo M and Wood E F Multiple effects of changesin arctic snow cover Ambio 40 32ndash45 doi101007s13280-011-0213-x 2011b

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1411

Chapin III F S Shaver G Giblin A E Nadelhoffer K J andLaundre J A Response of arctic tundra to experimental andobserved changes in climate Ecology 76 694ndash711 1995

Chernov Y I The Living Tundra Cambridge University PressCambridge 228 pp 1988

Christiansen H H Meteorological control on interannual spa-tial and temporal variations in snow cover and ground thaw-ing in two Northeast Greenlandic Circumpolar-Active-Layer-Monitoring (CALM) sites Permafrost Periglac Process 15155ndash169 doi101002ppp489 2004

Eddy covariance gap-filling amp flux-partitioning tool httpwwwbgc-jenampgde~MDIworkeddyproc last access 30 Novem-ber 2015

Elberling B Tamstorf M P Michelsen A Arndal M F Sigs-gaard C Illeris L Bay C Hansen B Christensen T RHansen E S Jakobsen B H and Beyens L Soil and plantcommunity-characteristics and dynamics at Zackenberg AdvEcol Res 40 223ndash248 doi101016S0065-2504(07)00010-42008

Eugster W Rouse W R Pielke R A McFadden J P Baldoc-chi D D Kittel T G F Chapin F S Liston G E VidaleP L Vaganov E and Chambers S Land-atmosphere energyexchange in Arctic tundra and boreal forest available data andfeedbacks to climate Global Change Biol 6 84ndash115 2000

Euskirchen E S McGuire A D Kicklighter D W Zhuang QClein J S Dargaville R J Dye D G Kimball J S Mc-Donald K C Melillo J M Romanovsky V and Smith N VImportance of recent shifts in soil thermal dynamics on grow-ing season length productivity and carbon sequestration in ter-restrial high-latitude ecosystems Global Change Biol 12 731ndash750 doi101111j1365-2486200601113x 2006

Falge E Baldocchi D Tenhunen J Aubinet M Bakwin PBerbigier P Bernhofer C Burba G Clement R Davis KJ Elbers J A Goldstein A H Grelle A Granier A Gund-mundsson J Hollinger D Kowalski A S Katul G Law BE Malhi Y Meyers T Monson R K Munger J W OechelW Tha Paw U K Pilegaard K Rannik U Rebmann CSuyker A E Valentini R Wilson K and Wofsy S Season-ality of ecosystem respiration and gross primary production asderived from FLUXNET measurements Agr Forest Meteorol113 53ndash74 2002

Foken T The energy balance closure problem an overview EcolAppl 18 1351ndash1367 2008

Graversen R G Mauritsen T Tjernstroumlm M Kaumllleacuten E andSvensson G Vertical structure of recent Arctic warming Na-ture 541 53ndash56 doi101038nature06502 2008

Groisman P Y Karl T R and Knight R W Changes of snowcover temperature and radiative heat balance over the North-ern Hemisphere J Climate 7 1633ndash1656 doi1011751520-0442(1994)007lt1633COSCTAgt20CO2 1994

Hanks J R and Ashcroft G L Applied soil physics Soil wa-ter and temperature applications Springer New York 159 pp1980

Hansen B Sigsgaard C Rasmussen L H Cappelen J HinklerJ Mernild S H Petersen D Tamstorf M P Rasch M andHasholt B Present-day climate at Zackenberg Adv Ecol Res40 111ndash149 2008

Hartman D L Klein Tank A M G Rusticucci M AlexanderL V Broumlnnimann S Charabi Y Dentener F J Dlugokencky

E J Easterling D R Kaplan A Soden B J Thorne P WWild M and Zhai P M Observations Atmosphere and Sur-face in Climate Change 2013 The Physical Science Basis inContribution of Working Group I to the Fifth Assessment Reportof the Intergovernmental Panel on Climate Change CambridgeUniversity Press Cambridge 159ndash254 2013

Haslwanter A Hammerle A and Wohlfahrt G Open-pathvs closed-path eddy covariance measurements of the netecosystem carbon dioxide and water vapour exchange Along-term perspective Agr Forest Meteorol 149 291ndash302doi101016jagrformet200808011 2009

Jarvis P G and McNaughton K G Stomatal control on transpi-ration scaling up from leaf to region Adv Ecol Res 15 1ndash491986

Jentsch A Kreyling J and Beierkuhnlein C A new gen-eration of climate change experiments events not trendsFront Ecol Environ 5 365ndash374 doi1018901540-9295(2007)5[365ANGOCE]20CO2 2007

Kasurinen V Alfredsen K Kolari P Mammarella I Aleksey-chik P Rinne J Vesala T Bernier P Boike J Langer MBelelli Marchesini L van Huissteden K Dolman H SachsT Ohta T Varlagin A Rocha A Arain A Oechel WLund M Grelle A Lindroth A Black A Aurela M Lau-rila T Lohila A and Berninger F Latent heat exchange in theboreal and arctic biomes Global Change Biol 20 3439ndash3456doi101111gcb12640 2014

Kattsov V M Kaumllleacuten E Cattle H Christensen J Drange HHanssen-Bauer I Joacutehannesen T Karol I Raumlisaumlnen J Svens-son G and Vavulin S Chapter 7 Arctic tundra and polar desertecosystems in Arctic Climate Impact Assessment CambridgeUniversity Press Cambridge 99ndash150 2005

Lafleur M P and Rouse W R The influence of surface coverand cliate on energy partitioning and evaporation in a subarcticwetland Bound-Lay Meteorol 44 327ndash347 1988

Langer M Westerman S Piel K and Boike J The sur-face energy balance of a polygonal tundra site in northernSiberia ndash Part 1 Spring to fall The Cryosphere 5 151ndash171doi105194tc-5-151-2011 2011

Leuning R van Gorsel E Massman W J and Isaac P R Re-flections on the surface energy imbalance problem Agr For-est Meteorol 156 65ndash74 doi101016jagrformet2011120022012

Liljedahl A K Hinzman L D Harazona Y Zona D TweedieC E Hollister R D Engstrom R and Oechel W Nonlinearcontrols on evapotranspiration in arctic coastal wetlands Biogeo-sciences 8 3375ndash3389 doi105194bg-8-3375-2011 2011

Losch R and Tenhunen J D Stomatal responses to humid-ity ndash Phenomenon and mechanisms in Water deficits andplant growth Cambridge University Press Cambridge 131ndash1611983

Lund M Falk J M Friborg T Mbufong H N Sigsgaard CSoegaard H and Tamstorf M P Trends in CO2 exchange ina high Arctic tundra heath 2000ndash2010 J Geophys Res 117G02001 doi1010292011JG001901 2012

Lund M Hansen B Pedersen S H Stiegler C and Tam-storf M P Characteristics of summer-time energy exchangein a high Arctic tundra heath 2000ndash2010 Tellus B 66 21631doi103402tellusbv6621631 2014

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

1412 C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning

Marchand F L Kockelbergh F van de Vijver B Beyens L andNijs I Are heat and cold resistance of arctic species affected bysuccessive extreme temperature events New Phytol 170 291ndash300 doi101111j1469-8137200601659x 2005

Massman W J and Ibrom A Attenuation of concentration fluc-tuations of water vapor and other trace gases in turbulent tubeflow Atmos Chem Phys 8 6245ndash6259 doi105194acp-8-6245-2008 2008

McBean G Alexseev G Chen D Foslashrland E Fyfe J Grois-man P Y King R Melling H Vose R and Whitfield P HArctic climate past and present in Arctic Climate Impact As-sessment ndash Scientific Report Cambridge University Press Cam-bridge 21ndash60 2005

McFadden J P Eugster W and Chapin III F S A regional studyof the controls on water vapor and CO2 exchange in Arctic tun-dra Ecology 84 2762ndash2776 2003

Monteith J L and Unsworth M H Principles of environmentalphysics Plants animals and the atmosphere Academic PressOxford 422 pp 2013

Mylius M R Christensen T R Hangaard P Hansen B Pe-tersen D Tamstorf M P Mastepanov M Soslashrensen M WPetersen L G Rasmussen L H Sigsgaard C Skov K Aber-mann J and Lund M Zackenberg Basic The Climate Basisand GeoBasis programmes Danish Centre for Environment andEnergy Roskilde p 130 2014

Nakicenovic N Alcamo J Davis G de Vries B FenhannJ Gaffin S Gregory K Gruumlbler A Jung T Y Kram TLa Rovere E L Michaelis L Mori S Morita T PepperW Pitcher H Price L Raihi K Roehrl A Rogner H HSankovski A Schlesinger M Shukla P Smith S Swart Rvan Rooijen S Victor N and Dadi Z IPCC special reporton emissions scenarios Cambridge University Press Cambridge2000

Novik K A Walker J Chan W S Schmidt A Sobek C andVose J M Eddy covariance measurements with a new fast-response enclosed-path analyzer Spectral characteristics andcross-system comparisons Agr Forest Meteorol 181 17ndash32doi101016jagrformet201306020 2013

Overpeck J Hughen K Hardy D Bradley R Case R Dou-glas M Finney B Gajewski K Jacoby G Jennings ALamoureux S Lasca A MacDonald G Moore J RetelleM Smith S Wolfe A and Zielinski G Arctic environmen-tal change for the last four centuries Science 278 1251ndash1256doi101126science27853411251 1997

Pedersen M R Christensen T R Hangaard P Hansen BJackowicz-Korczynski M Larsen M Lund M MastepanovM Petersen D Hoslashjlund Pedersen S Pedersen L G Ras-mussen L H Sigsgaard C Skov K Stiegler C Thorsoslashe Kand Tamstorf M P Zackenberg Basic The ClimateBasis andGeoBasis programme Danish Centre for Environment and En-ergy Roskilde 13ndash29 2012

Priestley C H B and Taylor R J On the assessment of surfaceheat flux and evaporation using large-scale parameters MonWeather Rev 100 81ndash92 1972

Rawlins M A Steele M Holland M M Adam J C CherryJ E Francis J A Groisman P Y Hinzman L D Hunting-ton T G Kane D L Kimball J S Kwok R Lammers RB Lee C M Lettenmaier D P McDonald K C Podest EPundsack J W Rudels B Serreze M C Shiklomanov A

I Skagseth Oslash Troy T J Voumlroumlsmarty C J Wensnahan MWood E F Woodgate R Yang D Zhang K and Zhang TAnalysis of the Arctic system for freshwater cycle intensifica-tion Observations and expectations J Climate 23 5715ndash5737doi1011752010JCLI34211 2010

Reichstein M Falge E Baldocchi D Papale D AubinetM Berbigier P bernhofer C Buchmann N Gilmanov TGranier A Gruumlnwald T Havraacutenkovaacute K Ilvesniemi HJanous D Knohl A Laurila T Lohila A Loustau D Mat-teucci G Meyers T Miglietta F Ourcival J M PumpanenJ Rambal S Rotenberg E Sanz M Tenhunen J Seufert GVaccari F Vesala T Yakir D and Valentini R On the sep-aration of net ecosystem exchange into assimilation and ecosys-tem respiration review and improved algorithm Global ChangeBiol 11 1424ndash1439 2005

Rouse W R The energy and water balance of high-latitude wet-lands controls and extrapolation Global Change Biol 6 59ndash682000

Screen J A and Simmonds I The central role of diminishingsea ice in recent Arctic temperature amplification Nature 4641334ndash1337 doi101038nature09051 2010

Shuttleworth W J Putting the ldquovaprdquo into evaporation HydrolEarth Syst Sci 11 210ndash244 doi105194hess-11-210-20072007

Soegaard H Hasholt B and Nordstroem C Surface energy- andwater balance in a high-arctic environment in NE GreenlandTheor Appl Climatol 70 35ndash51 2001

Stendel M Hesselbjerg Christiensen J Aethalgeirsdoacutettir GKliem N and Drews M Regional climate change for Green-land and surrounding seas Danish Climate Centre ReportCopenhagen 26 pp 2007

Stocker T F Qin D Plattner G K Tinor M Allen S KBoschung J Nauels A Xia Y Bex V and Midgley P MClimate Change 2013 The Physical Science Basis in Contribu-tion of Working Group I to the Fifth Assessment Report of theIntergovernmental Panel on Climate Change Cambridge Univer-sity Press Cambridge 1552 pp 2013

Stoy P Mauder M Foken T Marcolla B Boegh E IbromA Altaf Arain M Arneth A Aurela M Bernhofer CCescatti A Dellwik E Duce P Gianelle D van GorselE Kiely G Knohl A Margolis H McGaughey H Mer-bold L Montagnani L Papale D Reichstein M SaundersM Serrano-Ortiz P Sottocornola M Spano D Vaccari Fand Varlagin A A data-driven analysis of energy balance clo-sure across FLUXNET research sites The role of landscapescale heterogeneity Agr Forest Meteorol 171ndash172 137ndash152doi101016jagrformet201211004 2013

Sturm M and Douglas T Changing snow and shrub conditionsaffect albedo with global implications J Geophys Res 110G01004 doi1010292005JG000013 2005

Su H-B Schmid H P Grimmond C S B Vogel C S andOliphant A J Spectral characteristics and correction of long-term eddy-covariance measurements over two mixed hardwoodforests in non-flat terrain Bound-Lay Meteorol 110 213ndash2532004

Tagesson T Moumllder M Mastepanov M Sigsgaard C Tam-storf M P Lund M Falk J M Lindroth A Christensen TR and Stroumlm L Land-atmosphere exchange of methane fromsoil thawing to soil freezing in a high-Arctic wet tundra ecosys-

The Cryosphere 10 1395ndash1413 2016 wwwthe-cryospherenet1013952016

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References

C Stiegler et al Two years with extreme and little snowfall effects on energy partitioning 1413

tem Global Change Biol 18 1928ndash1940 doi101111j1365-2486201202647x 2012

Walker D A Billings W D and De Molenaar J G Snow-vegetation interactions in tundra environments in Snow Ecol-ogy an interdisciplinary examination of snow-covered ecosys-tems edited by Jones H G Pomeroy J Walker D A andHoham R W Cambridge University Press Cambridge 266ndash324 2001

Warren S G Optical properties of snow Rev Geophys SpacePhys 20 67ndash89 1982

Westermann S Luumlers J Langer M Piel K and Boike J Theannual surface energy budget of a high-arctic permafrost site onSvalbard Norway The Cryosphere 3 245ndash263 doi105194tc-3-245-2009 2009

Woo M K Lewkowicz A G and Rouse W R Response ofthe Canadian permafrost environment to climatic change PhysGeogr 134 287ndash317 1992

Wyngaard J C and Cote O R Cospectral similarity in atmo-spheric surface-layer Q J Roy Meteorol Soc 98 590ndash6031972

wwwthe-cryospherenet1013952016 The Cryosphere 10 1395ndash1413 2016

  • Abstract
  • Introduction
  • Materials and methods
    • Study sites
    • Measurements
    • Data analysis and derived parameters
      • Results
        • Energy balance closure
        • Polar night and pre-melt season
        • Snowmelt season
        • Growing season
          • Season length and meteorological conditions
          • Radiation balance
          • Turbulent heat fluxes
          • Controls of evapotranspiration
          • Ground heat flux and soil properties
            • Total surface energy balance of the snowmelt season and growing season
              • Discussion
                • Energy balance closure and system performance
                • Snow cover and surface energy budget
                  • Conclusions and outlook
                  • Author contributions
                  • Acknowledgements
                  • References