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    TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology

    Source: Journal of Atmospheric and Oceanic Technology:;1993:;volume( 010 ):;issue: 006::page 785
    Author:
    Dixon, Michael
    ,
    Wiener, Gerry
    DOI: 10.1175/1520-0426(1993)010<0785:TTITAA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A methodology is presented for the real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data. The emphasis is on the concepts upon which the methodology is based. A ?storm? is defined as a contiguous region exceeding thresholds for reflectivity and size. Storms defined in this way are identified at discrete time intervals. An optimization scheme is employed to match the storms at one time with those at the following time, with some geometric logic to deal with mergers and splits. The short-term forecast of both position and size is based on a weighted linear fit to the storm track history data. The performance of the detection and forecast were evaluated for the summer 1991 season, and the results are presented.
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      TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4228622
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    contributor authorDixon, Michael
    contributor authorWiener, Gerry
    date accessioned2017-06-09T17:26:05Z
    date available2017-06-09T17:26:05Z
    date copyright1993/12/01
    date issued1993
    identifier issn0739-0572
    identifier otherams-852.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228622
    description abstractA methodology is presented for the real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data. The emphasis is on the concepts upon which the methodology is based. A ?storm? is defined as a contiguous region exceeding thresholds for reflectivity and size. Storms defined in this way are identified at discrete time intervals. An optimization scheme is employed to match the storms at one time with those at the following time, with some geometric logic to deal with mergers and splits. The short-term forecast of both position and size is based on a weighted linear fit to the storm track history data. The performance of the detection and forecast were evaluated for the summer 1991 season, and the results are presented.
    publisherAmerican Meteorological Society
    titleTITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology
    typeJournal Paper
    journal volume10
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1993)010<0785:TTITAA>2.0.CO;2
    journal fristpage785
    journal lastpage797
    treeJournal of Atmospheric and Oceanic Technology:;1993:;volume( 010 ):;issue: 006
    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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