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Snow Squalls: Forecasting and Hazard Mitigation PETER BANACOS 1 , ANDREW LOCONTO 1 , and GREG DEVOIR 2 1 WFO Burlington, VT 2 WFO State College, PA Northeast Regional Operational Workshop XIV – 11 December 2013

Snow Squalls: Forecasting and Hazard Mitigation

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Snow Squalls: Forecasting and Hazard Mitigation. P ETER B ANACOS 1 , A NDREW LOCONTO 1 , and G REG D E V OIR 2 1 WFO Burlington, VT 2 WFO State College, PA Northeast Regional Operational Workshop XIV – 11 December 2013. Outline. What is a Snow Squall?. - PowerPoint PPT Presentation

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Page 1: Snow Squalls: Forecasting and Hazard  Mitigation

Snow Squalls:Forecasting and Hazard Mitigation

PETER BANACOS 1, ANDREW LOCONTO 1, and GREG DEVOIR 2 1WFO Burlington, VT 2WFO State College, PA

Northeast Regional Operational Workshop XIV – 11 December 2013

Page 2: Snow Squalls: Forecasting and Hazard  Mitigation

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Background information on squalls and societal impacts

Synoptic and mesoscale snow squall environments

Snow Squall Forecasting Parameter

R20: Research Operations

Conveying the message (Special Wx Statements, Social Media, Interactive Highway signs, action plans, etc.)

Outline

Page 3: Snow Squalls: Forecasting and Hazard  Mitigation

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What is a Snow Squall?A mesoscale convective system producing gusty winds & heavy snow.

Time-Matched Imagery 30 November 2007Elm St., Potsdam, NY TYX 0.5o reflectivity loop

• Tend to be short-lived• Don’t reach NWS snow advisory criteria• Falling temperatures can produce a “flash freeze” situation• Can have deadly road consequences (high-impact, sub-advisory, HISA)

Page 4: Snow Squalls: Forecasting and Hazard  Mitigation

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Long history of deadly accidents with snow squalls (~ 1”)…

…how do we mitigate this?

NBC33 - Indianapolis

Burlington Free Press

Page 5: Snow Squalls: Forecasting and Hazard  Mitigation

More certainty in forecast products, better lead times. Better communication.

Road crews pre-treat surfaces

PREVIOUS STUDIES OF SNOW SQUALLS (non-lake effect)

Create a snow squall database and improve our meteorological understanding through compositing

WHAT WE WANT TO DO:

Improve forecaster situational awareness by developing a new snow squall parameter (these are low QPF events)

Validate snow squall parameter against individual cases

Continue to improve operational messaging, education, and state/local partnerships

END RESULT:

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• A few case studies and one forecast technique (WINDEX, Lundstedt 1993).• Cool-season MCS work may be relevant (e.g., Low-Dewpoint MCS/derechos, Corfidi et al. ‘06).• Some focus on external partnerships (Devoir 2004, NWS – PENNDOT)

Page 6: Snow Squalls: Forecasting and Hazard  Mitigation

BTVMPV

MSS

New YorkVermont

METHODS• Searched 10 years of ASOS data for moderate or heavy snow (VSBY ≤ ½ SM) with a west wind component.

• Each S or S+ observation was compared with 2-km radar mosaics to subjectively determine if the event was associated with a cold front or mobile upper trough (and not a stratiform/WAA case).

• Found 36 total snow squall events (2001-02 through 2010-11).

• Logged surface data characteristics for each case.

3 ASOS locations used

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Creating a Snow Squall Database

Page 7: Snow Squalls: Forecasting and Hazard  Mitigation

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Surface and Synoptic Features

Page 8: Snow Squalls: Forecasting and Hazard  Mitigation

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Snow squalls are short-lived events…

VSBY ≤ ¼ SMASOS VSBY ≤ ½ SM

Page 9: Snow Squalls: Forecasting and Hazard  Mitigation

9Modest Snow Amounts Small Liquid Equivalent Continental SLRs

Page 10: Snow Squalls: Forecasting and Hazard  Mitigation

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Potential instability

Dendrite growth zone (-12 to -18C)

Wind speed max (38 kts)

Page 11: Snow Squalls: Forecasting and Hazard  Mitigation

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BUFKIT Summary• Time-height cross-sections:– A brief, intense zone of UVV in the lowest 2km AGL. • Intersects Dendritic Growth Zone (-12 to -18C) in saturated (RH

≥ 90%) atmosphere• Along/just ahead of cold front.

– Examine θe profile for vertically-oriented or folded isentropes (steep lapse rates, potential instability).

– Well-defined wind shift with strongest wind speeds/ mixing just behind front.

– Don’t get hung up on QPF. Likely only ~0.05”.

Page 12: Snow Squalls: Forecasting and Hazard  Mitigation

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Parameters Examined using 3-hrly NARR data in GEMPAK (analysis times immediately before and

after squall time) SBCAPE MUCAPE (0-180mb)

Sfc-2km Theta-e difference Sfc-2km RH

Sfc-2km mean wind Sfc-2km wind shear

925mb frontogenesis Sfc isallobars (3hrly)

850mb frontogenesis WBZ height

Precipitable Water 300mb Divergence

925mb theta-e Adv. 850mb theta-e Adv.

850mb temperature advection 0-2km lapse rate

Page 13: Snow Squalls: Forecasting and Hazard  Mitigation

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NARR Variable Distribution for 36 Snow Squall Events Normalized between 25th and 50th percentile values… 9ms-1, 75%, 0K/2km

Page 14: Snow Squalls: Forecasting and Hazard  Mitigation

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NARR SCATTERPLOT of 0-2km mean RH vs. THETA-E Difference (36 SNSQ CASES)

Favored parameter

space

Page 15: Snow Squalls: Forecasting and Hazard  Mitigation

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Moisture low-level Instability Wind

Calibration was done using NARR data, but can be tweaked for operational models.

Snow Squall Parameter (SNSQ, non-dimensional)plot only for values > 0 and where Tw ≤ 1 C @ 2m Cold enough for snow

Necessary Ingredients for SquallsMoist convection, but cold enough for snow.

(1) moisture, (2) lift, (3) instability, (4) wind, and (5) vertical temperature structure (to support snow)

SNSQ approaches zero as any of these variables approaches zero. Lift (forcing) would be assessed independently (isallobaric rise/fall couplet, F-GEN).

Page 16: Snow Squalls: Forecasting and Hazard  Mitigation

3-hrly NARR SNSQ time series at BTV (5 months)

SNSQ ParameterOne # to highlight where kinematic and thermodynamic conditions are

favorable for snow squalls.

2005-06Winter

Page 17: Snow Squalls: Forecasting and Hazard  Mitigation

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Case Examples• 11-12 February 2003 (using the NARR)• 17 January 2013 (using the NARR & BTV-12km WRF)

BTV-12km WRF:Initialized with the GFS and no convective parameterization.

Page 18: Snow Squalls: Forecasting and Hazard  Mitigation

Testing the SNSQ Parameter Against Past Events: 11-12 Feb 2003

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CG Lightning (11/20z through 12/12z)

EXAMPLE 1

“SNOW DERECHO” CASE

Page 19: Snow Squalls: Forecasting and Hazard  Mitigation

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11-12 Feb 2003

11/21 Z

12/00 Z

WI

WI

WI

12/03 Z

SNSQ Parameter

Shaded, left panels

3-hr Isallobars

A simple way to assess convergence (lift) /propagation

Pres. couplets often the difference

between convective snow showers and organized squalls

21z

00z

03z

SNSQ

RADAR

Page 20: Snow Squalls: Forecasting and Hazard  Mitigation

SBCAPE (J kg-1), 925mb Frontogenesis (K 100km-1 3hr-1)

0-2km qe Diff.0-2km Mean RH (%)

Isallobaric Convergence

3-hr Isallobars (mb) 20

925mbF-gen

Page 21: Snow Squalls: Forecasting and Hazard  Mitigation

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16-17 January 2013EXAMPLE 2

Intense snow squalls along sharp cold front

SNSQ (03z, 9 h forecast)BTV-12km WRF 17 Jan 2013

Lake effect snow showers

Page 22: Snow Squalls: Forecasting and Hazard  Mitigation

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SNOW SQUALL OBSERVATIONS:

CYYU 161900Z 33020KT 1/8SM +SN +BLSN VV001 M14/M35 A2944 RMK SN8 PRESRR SLP962

CYNM 162300Z AUTO 33028G37KT 1/4SM +SN BLSN VV005 M17/M19 A2936 RMK MAX WND 33037KT AT 2300Z PRESRR SLP968

CYXR 162354Z AUTO 32028G38KT 230V330 1/8SM +SN SCT014 BKN019 BKN027 OVC070 M08/M10 A2948 RMK MAX WND 27038KT AT 2345Z PRESRR SLP998

CYSB 170146Z 35021G28KT 1/2SM R22/2800VP6000FT/D SHSN DRSN VV003 RMK SN8

CYVO 170148Z 32020G28KT 1/2SM -SN BLSN VV007 M14/M15 A2951 RESN RMK BLSN8 PRESRR SLP022

17/0040Z

16-17 January 2013 Case EXAMPLE 2

Reflectivity – Landrienne, Quebec

Page 23: Snow Squalls: Forecasting and Hazard  Mitigation

NARR SNSQ parameter with PMSL and isallobars (03z 17 Jan 2013)

23isallobaric wind Convergence maximized on leading edge of

isallobaric gradient (usually near zero change line).

SNSQ

Page 24: Snow Squalls: Forecasting and Hazard  Mitigation

24Isallobaric convergence part of thermally direct frontogenetic circulation.

925mbF-gen

Isallobaric Convergence

Page 25: Snow Squalls: Forecasting and Hazard  Mitigation

View from Burlington, VT of snow squall crossing Lake Champlain (17/13z)

SNSQ Parameter (17/12z) (BTV-12km WRF 12-hr FCST) Mosaic Composite Reflectivity (17/1155z)

Page 26: Snow Squalls: Forecasting and Hazard  Mitigation

See the SNSQ Parameter in Real-Time

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http://www.erh.noaa.gov/btv/html/4kmwrf/index.php

http://www.erh.noaa.gov/btv/html/12kmwrf/index.php

SPC is working on adding the SNSQ Parameter to Mesoanalysis page (full CONUS availabiliity)

SNSQ

On the Web (BTV 4 and 12km WRF runs)

AWIPS 4-panel procedures (Volume browser changes sent to the SOO mail list)

URLs: