High-Resolution Hail Observations: Implications for NWS Warning Operations

Author:

Blair Scott F.1,Laflin Jennifer M.1,Cavanaugh Dennis E.2,Sanders Kristopher J.3,Currens Scott R.4,Pullin Justin I.5,Cooper Dylan T.6,Deroche Derek R.7,Leighton Jared W.1,Fritchie Robert V.8,Mezeul II Mike J.9,Goudeau Barrett T.10,Kreller Stephen J.11,Bosco John J.12,Kelly Charley M.13,Mallinson Holly M.14

Affiliation:

1. NOAA/NWS Weather Forecast Office, Kansas City, Missouri

2. NOAA/NWS Weather Forecast Office, Little Rock, Arkansas

3. NOAA/NWS Weather Forecast Office, Topeka, Kansas

4. Tradewind Energy, Lenexa, Kansas

5. NOAA/NWS Weather Forecast Office, Tallahassee, Florida

6. NOAA/NWS Weather Forecast Office, Charleston, West Virginia

7. NOAA/NWS Central Region Headquarters, Kansas City, Missouri

8. CoreLogic, Norman, Oklahoma

9. Mike Mezeul II Photography, Frisco, Texas

10. Department of Atmospheric Science, University of Alabama in Huntsville, Huntsville, Alabama

11. Department of Geography and Anthropology, Louisiana State University, Baton Rouge, Louisiana

12. Department of Atmospheric Sciences, University of Louisiana at Monroe, Monroe, Louisiana

13. NOAA/NWS Weather Forecast Office, St. Louis, Missouri

14. Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, Illinois

Abstract

Abstract A field research campaign, the Hail Spatial and Temporal Observing Network Effort (HailSTONE), was designed to obtain physical high-resolution hail measurements at the ground associated with convective storms to help address several operational challenges that remain unsatisfied through public storm reports. Field phases occurred over a 5-yr period, yielding hail measurements from 73 severe thunderstorms [hail diameter ≥ 1.00 in. (2.54 cm)]. These data provide unprecedented insight into the hailfall character of each storm and afford a baseline to explore the representativeness of the climatological hail database and hail forecasts in NWS warning products. Based upon the full analysis of HailSTONE observations, hail sizes recorded in Storm Data as well as hail size forecasts in NWS warnings frequently underestimated the maximum diameter hailfall occurring at the surface. NWS hail forecasts were generally conservative in size and at least partially calibrated to incoming hail reports. Storm mode played a notable role in determining the potential range of maximum hail size during the life span of each storm. Supercells overwhelmingly produced the largest hail diameters, with smaller maximum hail sizes observed as convection became progressively less organized. Warning forecasters may employ a storm-mode hail size forecast philosophy, in conjunction with other radar-based hail detection techniques, to better anticipate and forecast hail sizes during convective warning episodes.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference61 articles.

1. The characteristics of United States hail reports: 1955–2014;Allen;Electron. J. Severe Storms Meteor.,2015

2. VIL density as a hail indicator;Amburn;Wea. Forecasting,1997

3. Vulnerability due to nocturnal tornadoes;Ashley;Wea. Forecasting,2008

4. Intraseasonal variability of hail in the contiguous United States: Relationship to the Madden–Julian oscillation;Barrett;Mon. Wea. Rev.,2015

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