High-Resolution Hail Observations: Implications for NWS Warning OperationsSource: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003::page 1101Author:Blair, Scott F.
,
Laflin, Jennifer M.
,
Cavanaugh, Dennis E.
,
Sanders, Kristopher J.
,
Currens, Scott R.
,
Pullin, Justin I.
,
Cooper, Dylan T.
,
Deroche, Derek R.
,
Leighton, Jared W.
,
Fritchie, Robert V.
,
Mezeul II, Mike J.
,
Goudeau, Barrett T.
,
Kreller, Stephen J.
,
Bosco, John J.
,
Kelly, Charley M.
,
Mallinson, Holly M.
DOI: 10.1175/WAF-D-16-0203.1Publisher: American Meteorological Society
Abstract: 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.
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contributor author | Blair, Scott F. | |
contributor author | Laflin, Jennifer M. | |
contributor author | Cavanaugh, Dennis E. | |
contributor author | Sanders, Kristopher J. | |
contributor author | Currens, Scott R. | |
contributor author | Pullin, Justin I. | |
contributor author | Cooper, Dylan T. | |
contributor author | Deroche, Derek R. | |
contributor author | Leighton, Jared W. | |
contributor author | Fritchie, Robert V. | |
contributor author | Mezeul II, Mike J. | |
contributor author | Goudeau, Barrett T. | |
contributor author | Kreller, Stephen J. | |
contributor author | Bosco, John J. | |
contributor author | Kelly, Charley M. | |
contributor author | Mallinson, Holly M. | |
date accessioned | 2017-06-09T17:37:39Z | |
date available | 2017-06-09T17:37:39Z | |
date copyright | 2017/06/01 | |
date issued | 2017 | |
identifier issn | 0882-8156 | |
identifier other | ams-88306.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4232072 | |
description abstract | 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 | |
title | High-Resolution Hail Observations: Implications for NWS Warning Operations | |
type | Journal Paper | |
journal volume | 32 | |
journal issue | 3 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/WAF-D-16-0203.1 | |
journal fristpage | 1101 | |
journal lastpage | 1119 | |
tree | Weather and Forecasting:;2017:;volume( 032 ):;issue: 003 | |
contenttype | Fulltext |