the inland extent of lake-effect snow (les) bands

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The Inland Extent of Lake-Effect Snow (LES) Bands Joe Villani NOAA/NWS Albany, NY Michael L. Jurewicz, Sr. NOAA/NWS Binghamton, NY Jason Krekeler State Univ. of NY, Albany, NY 18 th GLOMW, Toronto, Ontario March 22-24, 2010

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The Inland Extent of Lake-Effect Snow (LES) Bands . Joe Villani NOAA/NWS Albany, NY Michael L. Jurewicz, Sr. NOAA/NWS Binghamton, NY Jason Krekeler State Univ. of NY, Albany, NY 18 th GLOMW, Toronto, Ontario March 22-24, 2010. Outline. Motivation Goals Methodology Results - PowerPoint PPT Presentation

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Page 1: The Inland Extent of Lake-Effect Snow  (LES) Bands

The Inland Extent of Lake-Effect Snow (LES) Bands Joe VillaniNOAA/NWS Albany, NYMichael L. Jurewicz, Sr.NOAA/NWS Binghamton, NYJason KrekelerState Univ. of NY, Albany, NY

18th GLOMW, Toronto, OntarioMarch 22-24, 2010

Page 2: The Inland Extent of Lake-Effect Snow  (LES) Bands

Outline Motivation Goals Methodology Results Case Studies Ongoing / Future Work

Page 3: The Inland Extent of Lake-Effect Snow  (LES) Bands

Motivation Considerable research has been

devoted to LES processes and forecast issues over the last 2-3 decades– However, among these,

comparatively little attention has been given to inland extent

Page 4: The Inland Extent of Lake-Effect Snow  (LES) Bands

Goals To identify atmospheric

parameters that commonly have the most influence on a LES band’s inland penetration – Use these results in the forecast

process to improve: The quality/detail of information given

to the public (nowcasting) The NWS Watch/Warning/Advisory

program

Page 5: The Inland Extent of Lake-Effect Snow  (LES) Bands

Satellite Depiction of an Intense Band all the way to Albany, NY

Well developed single band from Lake Ontario to the Hudson Valley

Upstream moisture sources

Page 6: The Inland Extent of Lake-Effect Snow  (LES) Bands

Methodology/Data Sources Examined 20 LES events across

the Eastern Great Lakes (Erie/Ontario) during the 2007-2010 time frame– For each event, parameters were

evaluated at 6-hour intervals (00, 06, 12, and 18 UTC), using the NAM12 and RUC models, as well as BUF/ALY soundings

– Events averaged 24-30 hours in length

Wind regimes varied from a mean flow of 250-260 (WSW-ENE oriented bands) to 300-320 (NW-SE oriented bands)

Page 7: The Inland Extent of Lake-Effect Snow  (LES) Bands

Methodology (Continued) LES bands’ inland penetrations

(miles) calculated from radar mosaics, and a distance measuring application

Data points– Locations both inside bands and on

their peripheries were used (north, south, and just downstream of the band)

Data stratified based on location relative to band

Page 8: The Inland Extent of Lake-Effect Snow  (LES) Bands

Example of Data Points

Points in and near the LES band

BUF soundingALY sounding

Page 9: The Inland Extent of Lake-Effect Snow  (LES) Bands

Parameters1) Mixed layer (ML) wind Avg. direction/speed (deg/kt)2) Ambient low level moisture

Surface dewpoint (°C); Max ML dewpoint depression (TdD) (°C)

3) Snow band width/length

>= 15 dBZ contour (n mi)

4) Niziol instability class Lake–air T(°C) at 700/850 hPa 5) Capping inversion Inversion height: top of ML (m)6) Vertical wind sheara. magnitude (0-1, 0-3 km)

Vector difference between wind at top and bottom of layer (kt) (from Storm Prediction Center)

6) Vertical wind shearb. direction/speed

Estimated values between surface and top of ML (deg/kt)

7) Low-level convergence

From 0-hour 12km NAM

8) Multi-lake connection?

Satellite data

Page 10: The Inland Extent of Lake-Effect Snow  (LES) Bands

Strategy to Determine “Best” Parameters Used statistical correlations to

determine the most influential factors for inland extent– Overall, locations relative to bands

made little difference in the correlations (within the bands vs. north or south)

A few notable exceptions

Page 11: The Inland Extent of Lake-Effect Snow  (LES) Bands

Statistics Best correlators to inland extent

(all points together):– Multi-lake connection (0.75)– 850/700 mb Lake-air differentials (-

0.65)– Mixed-layer speed shear (0.27)– Mixed-layer directional shear (-0.23)

Page 12: The Inland Extent of Lake-Effect Snow  (LES) Bands

Results (Continued) Also a few healthy correlators in

locations outside of the bands: – Points south of the band:

Height of capping inversion (-0.4) Mixed-layer speed shear (0.35)

– Points north of the band: Mixed-layer directional shear (-0.4) Surface winds (0.3)

Page 13: The Inland Extent of Lake-Effect Snow  (LES) Bands

Brief Case Study Examples Both events featured 260-270

mean flow single bands– 8 January 2009

Only small inland penetration– 16 January 2009

Much greater inland extent

Page 14: The Inland Extent of Lake-Effect Snow  (LES) Bands

8 January – Radar + 1 km Shear

Strong mixed-layer flow - 30 to 40 kt

Page 15: The Inland Extent of Lake-Effect Snow  (LES) Bands

8 January – BUF Sounding- Lake to 850 mb Delta T of 13C

- Lake to 700 mb Delta T of 22C- Only conditionally unstable LR’s

Page 16: The Inland Extent of Lake-Effect Snow  (LES) Bands

16 January – Radar + 1 km Shear

Strong mixed-layer flow – 30 to 40 ktWeaker mixed-layer flow - 10-20 kt

Page 17: The Inland Extent of Lake-Effect Snow  (LES) Bands

16 January – BUF Sounding- Lake to 850 mb Delta T of 26C

- Lake to 700 mb Delta T of 37C- Much steeper LR’s

Page 18: The Inland Extent of Lake-Effect Snow  (LES) Bands

Take-Home Points Environments that promoted

greater inland extent of LES bands seemed to feature these characteristics:– Strong, well aligned flow in the

mixed layer (especially north of the band)

– Only conditional terrestrial instability Moderately to extremely unstable cases

tended to produce disorganized/cellular structures, confined closer to the shoreline

Page 19: The Inland Extent of Lake-Effect Snow  (LES) Bands

More Summary Points South of the band:

– Stable, sheared environments seemed favorable for inland extent

Cold low-level inflow into the band Lower cap/EL

Multi-Lake connection (MLC) is another factor that strongly related to inland extent

Page 20: The Inland Extent of Lake-Effect Snow  (LES) Bands

Ongoing / Future Work Further develop an algorithm/equation

that provides an estimate of inland extent, based on favorably correlated parameters– To be used in cases where LES band

development seems likely– Has already been tested on some of our

cases, with favorable results Individual/composite plots for MLC

patterns– MSLP/850/700 low tracks– Based on flow regimes

Page 21: The Inland Extent of Lake-Effect Snow  (LES) Bands

Present/Future Work (Continued) Perhaps better delineate

significant thresholds for strongly correlated parameters

Single banded vs. Multi-banded cases

Page 22: The Inland Extent of Lake-Effect Snow  (LES) Bands

The EndQuestions ??