Large, Sparsely Verified Severe Thunderstorm Warnings: Can we do better…and do we want to?

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Large, Sparsely Verified Severe Thunderstorm Warnings: Can we do better…and do we want to?. Eric Lenning and Ben Deubelbeiss NWS Chicago 2014 GLOMW. Motivation. Goal: An increased understanding of the types of severe weather systems (lines/clusters) that prompt large warnings. - PowerPoint PPT Presentation

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Large, Sparsely VerifiedSevere Thunderstorm Warnings:

Can we do better…and do we want to?

Eric Lenning and Ben Deubelbeiss NWS Chicago2014 GLOMW

MOTIVATION

Goal:An increased understanding of the types of severe weather systems (lines/clusters) that prompt large warnings.

Concern is large polygons with few if any reports:

• Training?• Verification?• Population?• Radar sampling?• Workload?• Fear?

Conclusion:Environment + Radar Signatures Better Decisions

NARROW THE FOCUS

Consider “LARGE” SVR polygons (> 7000 sq km).

Consider “SPARSELY VERIFIED” polygons (< 20% coverage).

Over 72% of large polygons from GL offices (139 of 191) were sparsely verified from 2008-2013.

LSR 15KM BUFFERPolygon Area: 2088 sq km

1 LSR and 43% Areal Verification

Polygon Area: 12538 sq km

5 LSRs and 21% Areal Verification

QUESTIONS

Can we better distinguish between high-end and low-end lines or clusters of storms?

** Use both environment and radar signatures **

For lower-end lines/clusters, can we focus the warning area?

Are we willing to take a few hits to avoid over-warning?

Is there an SPS or IBW approach?

Is over-warning even a problem???

Are we missing something else?

LARGE (>7000 SQ KM) POLYGONS: 08-13

2008-2013

J2 I1 L2 L1 J3 L3 I2 J10

4

8

12

16

20

24

28

32

36

40

44

48

0

1

2

3

4

5

6

7

8

9

10

11

12

LOT Large (> 7000 sq km) Warnings & Verification Percentage by Forecaster

AVERAGE AREA VERIFIED NUMBER OF LARGE WARNINGS

Ave

rage

Por

tion

of

War

nin

g V

erif

ied

Nu

mb

er o

f L

arge

War

nin

gs

2008-2013

WHAT DO WE KNOW ABOUT DAMAGING LINES/CLUSTERS?

Wind is main concern with large polygons?

Favorable Environments

Marginal to large (sfc-based?) instability.

Marginal to large shear (0-6km or 0-3km?).

Cold pool potential, LFC height, wind/shear orientation…

Radar Characteristics

Fast motion, tight reflectivity gradients, rear-inflow jets, rotational couplets, MARC signatures, cell intersections, leading/trailing/parallel stratiform, bookend vortices, reflectivity tags….

FAMILIARRESEARCHCorfidi, 2003

MORE RECENT RESEARCHSchaumann and Przybylinski, 2012

2008 AUG 4VS2012 JUN 29

20080804 23 UTC 20120629 14 UTC

3km VGP and 0-3km Shear Vector

RESULT

4-5 August 2008:

Warning 163 from 0018z-0130z

68% areal verification

Widespread damage

29 June 2012:

Warning 54 from 1544z-1645z

8% areal verification (Still a HIT!)

~60 mph gust, power lines down

VGP and 0-3km Shear Vector06/12/2013 23Z

VGP and 0-3km Shear Vector07/03/2012 01Z

CONCLUSIONS

Use large polygons based on morphology, not geography.

Large polygons best suited for derecho / bowecho types.

A large but ordinary line or cluster may warrant warnings, but only for smaller portions.

Environmental factors:

Orientation of 3km Shear Vector to lines of cells

Strength of 3km shear relative to cold pool

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