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    High-Resolution Hail Observations: Implications for NWS Warning Operations

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003::page 1101
    Author:
    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-16-0203.1
    Publisher: 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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      High-Resolution Hail Observations: Implications for NWS Warning Operations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4232072
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    • Weather and Forecasting

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    contributor authorBlair, Scott F.
    contributor authorLaflin, Jennifer M.
    contributor authorCavanaugh, Dennis E.
    contributor authorSanders, Kristopher J.
    contributor authorCurrens, Scott R.
    contributor authorPullin, Justin I.
    contributor authorCooper, Dylan T.
    contributor authorDeroche, Derek R.
    contributor authorLeighton, Jared W.
    contributor authorFritchie, Robert V.
    contributor authorMezeul II, Mike J.
    contributor authorGoudeau, Barrett T.
    contributor authorKreller, Stephen J.
    contributor authorBosco, John J.
    contributor authorKelly, Charley M.
    contributor authorMallinson, Holly M.
    date accessioned2017-06-09T17:37:39Z
    date available2017-06-09T17:37:39Z
    date copyright2017/06/01
    date issued2017
    identifier issn0882-8156
    identifier otherams-88306.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232072
    description abstractfield 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.
    publisherAmerican Meteorological Society
    titleHigh-Resolution Hail Observations: Implications for NWS Warning Operations
    typeJournal Paper
    journal volume32
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-16-0203.1
    journal fristpage1101
    journal lastpage1119
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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