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Effect of Landscape Effect of Landscape Change on Climate Change on Climate
and Weatherand WeatherRoger A. Pielke Sr. and Adriana Beltrán-Przekurat
Department of Atmospheric ScienceColorado State University
Long-Term Ecological Research Program, New Mexico State University, Las Cruces, NM
October 29th, 2004
Regional LandRegional Land--Use Change Use Change Effects on Climate in the Effects on Climate in the
SummerSummerMarshall, C.H. Jr., R.A. Pielke Sr., L.T. Steyaert, and D.A. WilMarshall, C.H. Jr., R.A. Pielke Sr., L.T. Steyaert, and D.A. Willard, 2004: lard, 2004: The impact of anthropogenic land cover change on warm season senThe impact of anthropogenic land cover change on warm season sensible sible weather and seaweather and sea--breeze convection over the Florida peninsula. breeze convection over the Florida peninsula. Mon. Wea Mon. Wea RevRev., 132, 28., 132, 28--52. 52.
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Max and Min Temp Trends
1973
1989
1994
Two-month average of the surface latent heat flux (W m-2) from the model simulations of July and August 1994 with pre-1900s land cover (top), 1994 land use (middle), and the difference field for the two (bottom; 1994 minus pre-1900s case).
1989
Regional LandRegional Land--Use Change Use Change Effects on Climate in the Effects on Climate in the
WinterWinter
Marshall, C.H. Jr., R.A. Pielke Sr., and L.T. Steyaert, 2003: CMarshall, C.H. Jr., R.A. Pielke Sr., and L.T. Steyaert, 2003: Crop rop freezes and landfreezes and land--use change. use change. NatureNature, 426, 29, 426, 29--30. 30.
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Marshall, C.H., R.A. Pielke Sr., and L.T. Steyaert, 2004: Has thMarshall, C.H., R.A. Pielke Sr., and L.T. Steyaert, 2004: Has the conversion of e conversion of natural wetlands to agricultural land increased the incidence annatural wetlands to agricultural land increased the incidence and severity of d severity of damaging freezes in south Florida? damaging freezes in south Florida? Mon. Wea. RevMon. Wea. Rev., in press.., in press.
http://blue.atmos.colostate.edu/publications/pdf/Rhttp://blue.atmos.colostate.edu/publications/pdf/R--281.pdf281.pdf
1997
Min T
1997
duration
Pielke, R.A., T.J. Lee, J.H. Copeland, J.L. Eastman, C.L. Pielke, R.A., T.J. Lee, J.H. Copeland, J.L. Eastman, C.L. Ziegler, and C.A. Finley, 1997: Use of USGSZiegler, and C.A. Finley, 1997: Use of USGS--provided provided data to improve weather and climate simulations. data to improve weather and climate simulations. Ecological Applications, 7, 3Ecological Applications, 7, 3--21.21.
Landscape Change Landscape Change In the Great PlainsIn the Great Plains
Model output cloud and water vapor mixing ratio fields at 21 GMT on 15 May 1991. The
clouds are depicted by white surfaces with qc = 0.01 g/kg, with
the sun illuminating the clouds from the west. The vapor mixing ratio in the planetary boundary layer is depicted by the green
surface with qv = 8 g/kg. The tan surface is the ground. Areas formed by the intersection of clouds or the vapor field with
lateral boundaries are flat surfaces, and visible ground
implies qv < 8 g/kg. The vertical axis is height, and the blue
backplanes are the north and east sides of the grid domain.
Model terrain (m above mean sea level and grid configuration
for the 15 May 1991 dryline simulations. The outer
dimensions of the figure denote the outermost grid, while nested
grids of increasing resolution are also indicated.
USGS land-cover data (color-filled pixels) and topography (contours) used in the 15
May 1991 dryline simulation (r-km increment). The predominant USGS land
cover class has been converted to a BATS classification (Dickinson et al. 1986). From
top to bottom the color bar depicts the following BATS categories (numerical value
of BATS category in parentheses): evergreen shrub (ES), irrigated crop (IC),
deciduous broadleaf tree (DBT), short grass (SG), crop/mixed farming (CMF), and other
miscellaneous land-cover types (other).
Has The Observed Landscape Has The Observed Landscape Change In The Jornada Change In The Jornada
Experimental Range Had A Experimental Range Had A Significant Effect On Surface Significant Effect On Surface
Sensible And Latent Heat Fluxes, Sensible And Latent Heat Fluxes, Air Temperature, And Relative Air Temperature, And Relative
Humidity?Humidity?
1915 1998
grass 37%shrub 63% shrub 92%
grass 8%
Gibbens, R. P. et al. 2004. Vegetation changes in the Jornada basin from 1858 to 1998. Journal of Arid Environments. In press.Peters and Gibbens in review
Change in vegetation types at the Jornada Experimental Range
(total area = 78,000 ha or 193,000 acres)
1858 1998
GRASS LARREAMESQUITE TARBUSH
GEMRAMS grid design
POOR
GRASS
Experimental Design
Two experiments were performed using two land cover scenarios (1858 and 1998) using identical initial meteorological conditions. These are the control cases.Three sensitivity experiments were performed using different initial soil moisture conditions, for both land cover scenarios, 1858 and 1998.
Dry case: the whole profile is 20% drier than the control case.Wet case: the first 1 m of the soil profile is 20% wetter than the control case, and the rest of the layers have the same soil moisture as the control case.Wetter case: same as wet case, but 40% wetter than the control case.
Different sets of experiments were performed using GEMRAMS, a coupled plant and atmospheric model.
Design of Numerical SimulationDesign of Numerical Simulation2 days:0500 LST May 23 – 0100 LST May 24, 20020500 LST September 3 – 0100 LST September 24, 2002Grid
50x50 grid, centered at 32°37’ N, 106°44’ W1x1km grid spacing
Initial meteorological dataMean sounding for the region using NCEP
reanalysisInitial soil moisture data
Typical May conditions, obtained from an average of 10 years of neutron probe measurements and some gravimetric data
0.1200.1200.0180.0180.3050.30515.015.00.3570.357““Poor grassPoor grass””
0.3320.3320.0500.0500.2900.29022.422.41.2051.205TarbushTarbush
0.4000.4000.0600.0600.2650.26523.423.41.1541.154LarreaLarrea
0.4000.4000.0600.0600.2700.27022.422.41.4291.429MesquiteMesquite
0.1200.1200.0180.0180.3050.30525.225.20.4960.496Grass (*)Grass (*)
Displacement Displacement height (m)height (m)
Roughness Roughness length (m)length (m)AlbedoAlbedoVegetation Vegetation
cover (%)cover (%)LAILAIVegetation typesVegetation types
Parameter values for each vegetation typeParameter values for each vegetation type
(*) For 1858 vegetation LAI and vegetation cover for Grass were 0.357 and 35% respectively.
Latent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
18581858
19981998
1998 1998 -- 18581858
Diurnal meanDiurnal meanSeptember September
175.0 Wm175.0 Wm22
110.2 Wm110.2 Wm22
--64.0 Wm64.0 Wm22
46.5 Wm46.5 Wm22
101.9 Wm101.9 Wm22
55.4 Wm55.4 Wm22
Latent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
18581858
19981998
1998 1998 -- 18581858
Diurnal meanDiurnal meanMay May
252.1 Wm252.1 Wm22
212.3 Wm212.3 Wm22
--39.0 Wm39.0 Wm22
55.3 Wm55.3 Wm22
89.7 Wm89.7 Wm22
34.3 Wm34.3 Wm22
Latent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
18581858
19981998
1998 1998 -- 18581858
330.6 Wm330.6 Wm22
223.5 Wm223.5 Wm22
--107.0 Wm107.0 Wm22
75.0 Wm75.0 Wm22
147.0 Wm147.0 Wm22
72.0 Wm72.0 Wm22
September15:00 LST
Latent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
18581858
19981998
1998 1998 -- 18581858
414.3 Wm414.3 Wm22
357.4 Wm357.4 Wm22
--56.9 Wm56.9 Wm22
81.3 Wm81.3 Wm22
119.6 Wm119.6 Wm22
38.3 Wm38.3 Wm22
May15:00 LST
Relative HumidityRelative HumidityTemperatureTemperature
18581858
19981998
1998 1998 -- 18581858
27.5 °C27.5 °C
27.0 °C27.0 °C
--0.5 °C0.5 °C
39.3 %39.3 %
41.5 %41.5 %
2.2%2.2%
September15:00 LST
Relative HumidityRelative HumidityTemperatureTemperature
18581858
19981998
1998 1998 -- 18581858
19.8 °C19.8 °C
19.7 °C19.7 °C
--0.15 °C0.15 °C
16.9 %16.9 %
17.4 %17.4 %
0.48 %0.48 %
May15:00 LST
Soil Moisture SensitivitySoil Moisture SensitivityLatent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
19981998
229.2 Wm229.2 Wm22
5.7 Wm5.7 Wm22
141.2 Wm141.2 Wm22
--5.8 Wm5.8 Wm22
15:00 LST
DRY CASE
DRY - CONTROL
Soil Moisture SensitivitySoil Moisture SensitivityLatent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
19981998
199.7 Wm199.7 Wm22
--23.8 Wm23.8 Wm22
185.6 Wm185.6 Wm22
38.7 Wm38.7 Wm22
15:00 LST
WET CASE
WET - CONTROL
Soil Moisture SensitivitySoil Moisture SensitivityLatent Heat FluxesLatent Heat FluxesSensible Heat FluxesSensible Heat Fluxes
19981998
202.7 Wm202.7 Wm22
--20.8 Wm20.8 Wm22
196.8 Wm196.8 Wm22
49.8 Wm49.8 Wm22
15:00 LST
WETTER CASE
WETTER - CONTROL
SummarySummaryDiurnally-averaged differences in the fluxes over the area
can be high, depending on daily atmospheric conditions. Important local differences in time and space were found.
Relative changes in surface fluxes from 1858 to 1998 are higher for latent heat.
Air temperature are influenced by surface fluxes, but simulated differences between the two vegetation distributions are not too high.
Relatively high sensitivity to soil moisture conditions, in particular for 1998 vegetation and for latent heat flux. The relative changes in the surface fluxes were lower than those forthe vegetation changes.
LAI differences seem to be the dominant parameter controlling the energy budget. Albedo is also important.