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    The WSR-88D Severe Weather Potential Algorithm

    Source: Weather and Forecasting:;1995:;volume( 010 ):;issue: 001::page 141
    Author:
    Kitzmiller, David H.
    ,
    McGovern, Wayne E.
    ,
    Saffle, Robert F.
    DOI: 10.1175/1520-0434(1995)010<0141:TWSWPA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The WSR-88D severe weather potential (SWP) algorithm is an automated procedure for the detection of severe local storms. The algorithm identifies individual thunderstorm cells within radar imagery and, for each cell, yields an index proportional to the probability that the cell will shortly produce damaging surface winds, large hail, or tornadoes. This index is a statistically derived function of the storm's maximum vertically integrated liquid (VIL) and horizontal areal extent. The correlation between these storm characteristics and severe weather occurrence was first documented in the 1970s. Several National Weather Service field offices in the central plains and Northeast regions of the United States have successfully used VIL as a discriminator between severe and nonsevere thunderstorms. This paper describes the observational data and statistical methodology employed in the development of the SWP algorithm, and regional and seasonal variations in the SWP/severe weather relationship. The expected operational performance of the algorithm, in terms of probability of detection and false alarm ratio, is also documented.
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      The WSR-88D Severe Weather Potential Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4164833
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    contributor authorKitzmiller, David H.
    contributor authorMcGovern, Wayne E.
    contributor authorSaffle, Robert F.
    date accessioned2017-06-09T14:50:02Z
    date available2017-06-09T14:50:02Z
    date copyright1995/03/01
    date issued1995
    identifier issn0882-8156
    identifier otherams-2779.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4164833
    description abstractThe WSR-88D severe weather potential (SWP) algorithm is an automated procedure for the detection of severe local storms. The algorithm identifies individual thunderstorm cells within radar imagery and, for each cell, yields an index proportional to the probability that the cell will shortly produce damaging surface winds, large hail, or tornadoes. This index is a statistically derived function of the storm's maximum vertically integrated liquid (VIL) and horizontal areal extent. The correlation between these storm characteristics and severe weather occurrence was first documented in the 1970s. Several National Weather Service field offices in the central plains and Northeast regions of the United States have successfully used VIL as a discriminator between severe and nonsevere thunderstorms. This paper describes the observational data and statistical methodology employed in the development of the SWP algorithm, and regional and seasonal variations in the SWP/severe weather relationship. The expected operational performance of the algorithm, in terms of probability of detection and false alarm ratio, is also documented.
    publisherAmerican Meteorological Society
    titleThe WSR-88D Severe Weather Potential Algorithm
    typeJournal Paper
    journal volume10
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1995)010<0141:TWSWPA>2.0.CO;2
    journal fristpage141
    journal lastpage159
    treeWeather and Forecasting:;1995:;volume( 010 ):;issue: 001
    contenttypeFulltext
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