regional variability and frequency of thundersnow over the u.s. kyle meier, lance bosart, and dan...

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Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences University at Albany, State University of New York CSTAR Focal Point: Michael Jurewicz National Weather Service WFO, Binghamton, NY NROW XIV 10–11 December 2013

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Page 1: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Regional Variability and Frequency of Thundersnow over the U.S.

Kyle Meier, Lance Bosart, and Dan KeyserDepartment of Atmospheric and Environmental Sciences

University at Albany, State University of New York

CSTAR Focal Point: Michael JurewiczNational Weather Service WFO, Binghamton, NY

NROW XIV 10–11 December 2013

Page 2: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Importanceo Thundersnow events can produce mesoscale regions

of locally enhanced snowfall accumulations (6–12 in.) and intense snowfall rates (2–4 in. h−1)

o Relatively little is known about thundersnow• Rarity of such storms compared to both non-thundering

snowstorms and summertime thunderstorms• Lack of direct observations inside clouds that produce

lightningo The rarity of thundersnow events presents a

significant forecasting challenge when they do occur

Page 3: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

o Convective storms require the collective contribution of:• Moisture• Instability• Lift

o Fourth ingredient needed specifically for thundersnow to occur: cold air • Below-freezing temperatures within clouds and near the surface

o Lightning production requires an interaction between different types of ice in clouds • Separation between ice crystals (+) and graupel (−) can result in an

electric field that becomes large enough to produce an electrical spark (i.e. the lightning stroke)

Background

Page 4: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Background Thundersnow can occur in a variety of mesoscale and

synoptic-scale settings: o Lake-effecto Orographic lift o Coastal storms and coastal frontso Thundersnow ahead of warm fronts (elevated

convection)o Thundersnow in the vicinity of cold fronts (anafronts) o Thundersnow associated with Alberta Clippers

Page 5: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Background Thundersnow can occur in a variety of mesoscale and

synoptic-scale settings: o Lake-effecto Orographic lift o Coastal storms and coastal frontso Thundersnow ahead of warm fronts (elevated

convection)o Thundersnow in the vicinity of cold fronts (anafronts) o Thundersnow associated with Alberta Clippers

Page 6: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

o Objective: Construct a thundersnow climatology in order to establish the spatial and temporal distribution of TSSN reports across the contiguous U.S.

o Period of Study• 19 years: 1994–2012• Cool season: October–March

o Dataset: Total Surface Archives (Weather Graphics Technologies)• Comprehensive archive of hourly METAR surface observations • Off-hour (SPECI) surface observations also included • All valid AWOS and ASOS stations

TSSN Climatology (Methodology)

Page 7: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

TSSN Climatology (Methodology)

o Scan observations for all instances of TSSN, VCTSSN, TSPL, and TSGS during the period of study

o Manually eliminate reports from Alaskan stations, Canadian stations, and eliminate “false positives”

o Tsurface < 4°C

o Multiple consecutive reports (i.e. separated by less than 12 h) at a single station constitute one count in the climatology

o Compile statistics o Plot the reports spatially on a map of the U.S.

Page 8: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

TSSN Climatology (Overview)

o 2667 reports extracted o TSSN was reported at 680 stations in the contiguous

U.S.o 46 of 48 states reported thundersnow (exceptions:

Delaware and Florida)o Single, isolated TSSN reports were common

• Reinforces the notion that TSSN is a fairly localized phenomenon of limited duration

o Other instances where TSSN occurred at several adjacent stations and/or for several consecutive hours

Page 9: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

1994–2012 Thundersnow Climatology

Legend1–2 reports3–5 reports6–10 reports10–20 reports20+ reports

Page 10: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Legend1–2 reports3–5 reports6–10 reports10–20 reports20+ reports

Intermountain West

1994–2012 Thundersnow Climatology

Page 11: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Legend1–2 reports3–5 reports6–10 reports10–20 reports20+ reports

Central U.S.

1994–2012 Thundersnow Climatology

Intermountain West

Page 12: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Legend1–2 reports3–5 reports6–10 reports10–20 reports20+ reports

Central U.S.

Northeast Coast

1994–2012 Thundersnow Climatology

Intermountain West

Page 13: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Legend1–2 reports3–5 reports6–10 reports10–20 reports20+ reports

Central U.S.

Northeast Coast

Great Lakes

1994–2012 Thundersnow Climatology

Intermountain West

Page 14: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

NLDN Data to Supplement Reports

12 February 2006

Legend

METAR report

NLDN lightning flash

Page 15: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Hypotheses

o The intermountain west maximum in TSSN reports is likely due in part to orographic forcing (and lake-enhanced effects near the Great Salt Lake)

o The maximum in the central U.S. is likely associated with the relatively high frequency of extratropical cyclone activity

o Reports near the Great Lakes stations suggest a lake influence (if not actual lake-effect events)

o Some East Coast events may have benefited from mesoscale forcing provided by coastal fronts associated with coastal cyclones and their ability to tap warm, moist oceanic air

Page 16: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Thundersnow Annual Distribution

**Cursory analysis suggests there is not a strong diurnal preference for TSSN to occur

October November December January February March0

100

200

300

400

500

600

700

800

Month

19 Y

ear C

ount

s

Page 17: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Thundersnow Capital of the U.S.?

Copper Mountain, CO 135 reports (5.07%)

Page 18: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Thundersnow Capital of the U.S.?

Wolf Creek Pass, CO 114 reports (4.28%)

Page 19: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Rounding out the top 10…

3. Beckley, WV

4. Salida Mountain, CO

5. Pagosa Springs, CO

6. Telluride, CO

7. Ely, NV

8. Sunlight Mountain, CO

9. Ogden Hill, UT

10. Bedford, MA

50 reports

48 reports

29 reports

28 reports

27 reports

24 reports

19 reports

19 reports

Page 20: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Thundersnow Reports by State

**The top 10 states comprise ~68% of the total reports

1. Colorado

2. Minnesota

3. Illinois

4. Oklahoma

5. Nebraska

6. Texas

7. Wisconsin

8. Michigan

9. West Virginia

10. New York

516 reports

379 reports

219 reports

197 reports

100 reports

99 reports

98 reports

84 reports

73 reports

71 reports

Page 21: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Two Case Studies from the 2012–2013 Winter Season

o 8–9 February 2013• A historic blizzard associated with a deep cyclone produced

widespread snowfall totals of 20–40 inches across parts of New England. TSSN was reported in five states: NY, CT, MA, RI, and NH.

o 16–17 February 2013• A strong cold front moved across the Carolinas on the morning of

16 February. Later in the afternoon, the main upper-level trough moved across the Carolinas, resulting in a second round of precipitation. TSSN was reported across several locations in NC and SC.

Page 22: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Methodology

o Objectives: (1) Compare the synoptic-scale and mesoscale features associated with the two events and (2) Identify the relevant dynamical and thermodynamic reasons for the observed thundersnow

o Datasets• Plan view charts (0.5° GFS data) • Cross-sections and proximity soundings (13-km RUC) • 0.5° WSR-88D radar reflectivity mosaics and NLDN data

Page 23: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

1000–500-hPa thickness (dashed, every 6 dam), mean sea level pressure (black, every 4 hPa), and 250-hPa wind speed (filled, every 10 m s−1 starting at 40 m s−1)

0000 UTC 9 February 2013 0000 UTC 17 February 2013

Plan View Analysis

Page 24: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

1000–500-hPa thickness (dashed, every 6 dam), mean sea level pressure (black, every 4 hPa), and 250-hPa wind speed (filled, every 10 m s−1 starting at 40 m s−1)

* Coupled jet system with a strong jet entrance region to the north

* Strong jet core (90 m s−1) well to the east of observed TSSN

Plan View Analysis0000 UTC 9 February 2013 0000 UTC 17 February 2013

Page 25: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

1000–500-hPa thickness (dashed, every 6 dam), mean sea level pressure (black, every 4 hPa), and 250-hPa wind speed (filled, every 10 m s−1 starting at 40 m s−1)

Plan View Analysis

* 984 hPa surface cyclone SE of Long Island, NY, and a 1036 hPa anticyclone in Quebec

* Absence of a strong cyclone. 1024 hPa anticyclone over WI advecting cold air into the Southeast

0000 UTC 9 February 2013 0000 UTC 17 February 2013 * Coupled jet system with a strong jet entrance region to the north

* Strong jet core (90 m s−1) well to the east of observed TSSN

Page 26: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

500 hPa geopotential height (black, every 6 dam), geostrophic absolute vorticity (filled, every 4 x 10 -5 s−1), and wind barbs (kts)

0000 UTC 9 February 2013 0000 UTC 17 February 2013

Plan View Analysis

Page 27: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

500 hPa geopotential height (black, every 6 dam), geostrophic absolute vorticity (filled, every 4 x 10 -5 s−1), and wind barbs (kts)

0000 UTC 9 February 2013 0000 UTC 17 February 2013

Plan View Analysis

* Northern and southern stream short-wave troughs merge ~ 0200 UTC, coincident with a maximum in observed lightning

* Deep long-wave trough associated with lowest heights of ~528 dam

Page 28: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

0.5° radar reflectivity mosaics and observed CG lightning flashes (black plus signs)

0230 UTC 9 February 2013 2145 UTC 16 February 2013

A

A’

B

B’

Radar and Observed Lightning

++++++ +

+ ++++

Page 29: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Cross sections of θe (red, every 4 K), absolute geostrophic momentum (black, every 10 m s−1), and relative humidity (filled, every 10% starting at 80%)

0300 UTC 9 February 2013 2100 UTC 16 February 2013

Cross-section Analysis

Page 30: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Cross sections of θe (red, every 4 K), absolute geostrophic momentum (black, every 10 m s−1), and relative humidity (filled, every 10% starting at 80%)

0300 UTC 9 February 2013 2100 UTC 16 February 2013

WMSSWMSS

Cross-section Analysis

Page 31: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Cross sections of θes (black, every 4 K), negative ω (dashed, every 3 μbar s−1 starting at −12 μbar s−1), frontogenesis [filled, every 2 K (100 km)−1 (3 h)−1], and the −10°C and −20°C isotherms

0300 UTC 9 February 2013 2100 UTC 16 February 2013

Cross-section Analysis

Page 32: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Cross sections of θes (black, every 4 K), negative ω (dashed, every 3 μbar s−1 starting at −12 μbar s−1), frontogenesis [filled, every 2 K (100 km)−1 (3 h)−1], and the −10°C and −20°C isotherms

0300 UTC 9 February 2013 2100 UTC 16 February 2013

Mixed-phase region

Mixed-phase region

Cross-section Analysis

Page 33: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Cross sections of θes (black, every 4 K), negative ω (dashed, every 3 μbar s−1 starting at −12 μbar s−1), frontogenesis [filled, every 2 K (100 km)−1 (3 h)−1], and the −10°C and −20°C isotherms

0300 UTC 9 February 2013 2100 UTC 16 February 2013

Cross-section Analysis

ω = −21 μbar s−1

ω = −33 μbar s−1

Mixed-phase region

Mixed-phase region

Page 34: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Vertical temperature and dewpoint profiles at New Haven, CT (HVN)

Vertical temperature and dewpoint profiles at Rock Hill, SC (UZA)

0300 UTC 9 February 2013 2100 UTC 16 February 2013

Sounding Analysis

Page 35: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Vertical temperature and dewpoint profiles at New Haven, CT (HVN)

Vertical temperature and dewpoint profiles at Rock Hill, SC (UZA)

0300 UTC 9 February 2013 2100 UTC 16 February 2013

* CAPE: 0 J kg−1

* 700−500 hPa lapse rate: 6.3°C km−1

* LCL: 669 hPa* Winds veer with height in lower troposphere

* CAPE: 210 J kg−1

* 700−500 hPa lapse rate: 7.4°C km−1

* LFC: 940 hPa* EL = 535 hPa* Winds back with height in the lower troposphere

Sounding Analysis

Page 36: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Vertical temperature and dewpoint profiles at New Haven, CT (HVN)

Vertical temperature and dewpoint profiles at Rock Hill, SC (UZA)

0300 UTC 9 February 2013 2100 UTC 16 February 2013

* CAPE: 0 J kg−1

* 700−500 hPa lapse rate: 6.3°C km−1

* LCL: 669 hPa* Winds veer with height in lower troposphere

* CAPE: 210 J kg−1

* 700−500 hPa lapse rate: 7.4°C km−1

* LFC: 940 hPa* EL = 535 hPa* Winds back with height in the lower troposphere

* Entire tropospheric column below freezing

0°C Isotherm

Sounding Analysis

Page 37: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Conclusionso Two thundersnow events from February 2013 occurred in

very dissimilar synoptic-scale environments• Case #1: NW quadrant of a strong coastal cyclone and was

associated with the merger of two shortwave troughs • Case #2: Post-cold-frontal environment and associated with a deep

500 hPa trough

o Similarities: Near-saturated conditions, weak MSS, and strong updrafts in the lower-to-middle troposphere over the range of temperatures corresponding to the mixed-phase region of a thundercloud

Page 38: Regional Variability and Frequency of Thundersnow over the U.S. Kyle Meier, Lance Bosart, and Dan Keyser Department of Atmospheric and Environmental Sciences

Future Worko Surface observations alone will not reveal all TSSN events

• NLDN observations can fill in these gaps (provided the lightning strokes are CG)

o Generate constant-pressure and vertical-profile composites of the environment preceding and during the occurrence of thundersnow• The composites may help determine the dynamical and

thermodynamic processes that contribute to regional TSSN frequency and variability

o Conduct representative case studies of the various TSSN pathways

o Determine discriminators between TSSN events and non-thundering snow events