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    The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm

    Source: Weather and Forecasting:;1998:;volume( 013 ):;issue: 002::page 263
    Author:
    Johnson, J. T.
    ,
    MacKeen, Pamela L.
    ,
    Witt, Arthur
    ,
    Mitchell, E. De Wayne
    ,
    Stumpf, Gregory J.
    ,
    Eilts, Michael D.
    ,
    Thomas, Kevin W.
    DOI: 10.1175/1520-0434(1998)013<0263:TSCIAT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Accurate storm identification and tracking are basic and essential parts of radar and severe weather warning operations in today?s operational meteorological community. Improvements over the original WSR-88D storm series algorithm have been made with the Storm Cell Identification and Tracking algorithm (SCIT). This paper discusses the SCIT algorithm, a centroid tracking algorithm with improved methods of identifying storms (both isolated and clustered or line storms). In an analysis of 6561 storm cells, the SCIT algorithm correctly identified 68% of all cells with maximum reflectivities over 40 dBZ and 96% of all cells with maximum reflectivities of 50 dBZ or greater. The WSR-88D storm series algorithm performed at 24% and 41%, respectively, for the same dataset. With better identification performance, the potential exists for better and more accurate tracking information. The SCIT algorithm tracked greater than 90% of all storm cells correctly. The algorithm techniques and results of a detailed performance evaluation are presented. This algorithm was included in the WSR-88D Build 9.0 of the Radar Products Generator software during late 1996 and early 1997. It is hoped that this paper will give new users of the algorithm sufficient background information to use the algorithm with confidence.
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      The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4166778
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    contributor authorJohnson, J. T.
    contributor authorMacKeen, Pamela L.
    contributor authorWitt, Arthur
    contributor authorMitchell, E. De Wayne
    contributor authorStumpf, Gregory J.
    contributor authorEilts, Michael D.
    contributor authorThomas, Kevin W.
    date accessioned2017-06-09T14:54:50Z
    date available2017-06-09T14:54:50Z
    date copyright1998/06/01
    date issued1998
    identifier issn0882-8156
    identifier otherams-2954.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4166778
    description abstractAccurate storm identification and tracking are basic and essential parts of radar and severe weather warning operations in today?s operational meteorological community. Improvements over the original WSR-88D storm series algorithm have been made with the Storm Cell Identification and Tracking algorithm (SCIT). This paper discusses the SCIT algorithm, a centroid tracking algorithm with improved methods of identifying storms (both isolated and clustered or line storms). In an analysis of 6561 storm cells, the SCIT algorithm correctly identified 68% of all cells with maximum reflectivities over 40 dBZ and 96% of all cells with maximum reflectivities of 50 dBZ or greater. The WSR-88D storm series algorithm performed at 24% and 41%, respectively, for the same dataset. With better identification performance, the potential exists for better and more accurate tracking information. The SCIT algorithm tracked greater than 90% of all storm cells correctly. The algorithm techniques and results of a detailed performance evaluation are presented. This algorithm was included in the WSR-88D Build 9.0 of the Radar Products Generator software during late 1996 and early 1997. It is hoped that this paper will give new users of the algorithm sufficient background information to use the algorithm with confidence.
    publisherAmerican Meteorological Society
    titleThe Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm
    typeJournal Paper
    journal volume13
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1998)013<0263:TSCIAT>2.0.CO;2
    journal fristpage263
    journal lastpage276
    treeWeather and Forecasting:;1998:;volume( 013 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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