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    Improvement of Tornado Warnings by Doppler Radar Measurement of Mesocyclone Rotational Kinetic Energy

    Source: Weather and Forecasting:;1990:;volume( 005 ):;issue: 002::page 247
    Author:
    Donaldson, Ralph J.
    ,
    Desrochers, Paul R.
    DOI: 10.1175/1520-0434(1990)005<0247:IOTWBD>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A significant improvement in the reliability and timeliness of tornado warnings can be achieved through quantitative measurement by Doppler radar of selected mesocyclone features. The mesocyclone, a midsize circulation found in some of the most severe thunderstorms, is a frequent precursor of tornadoes, especially those of strong or violent intensity. Mesocyclones can be readily detected by Doppler radar, and their distinguishing characteristics measured. A small sample of 17 Oklahoma storms containing mesocyclones was investigated in an effort to find optimum tornado predictors. The mesocyclone characteristic that provided the basis for the longest and most accurate warnings for violent (F4 and FS) as well as strong (F2 and F3) tornadoes is excess rotational kinetic energy (ERKE), defined as the rotational kinetic energy of the mesocyclone core calculated after subtraction from mesocyclone rotational velocity of the product of core radius and a selected value of threshold mesocyclonic shear. Rotational velocity also offered a basis for excellent warnings of the strong tornadoes. Little or no skill was achieved for identification of weak (F0 and F1) tornadoes. However, the distinctive warnings possible for strong and violent tornadoes in this small sample, using ERKE, offer reasonable promise of similar results when next generation weather radar (NEXRAD) becomes operational.
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      Improvement of Tornado Warnings by Doppler Radar Measurement of Mesocyclone Rotational Kinetic Energy

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4162167
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    contributor authorDonaldson, Ralph J.
    contributor authorDesrochers, Paul R.
    date accessioned2017-06-09T14:43:46Z
    date available2017-06-09T14:43:46Z
    date copyright1990/06/01
    date issued1990
    identifier issn0882-8156
    identifier otherams-2539.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4162167
    description abstractA significant improvement in the reliability and timeliness of tornado warnings can be achieved through quantitative measurement by Doppler radar of selected mesocyclone features. The mesocyclone, a midsize circulation found in some of the most severe thunderstorms, is a frequent precursor of tornadoes, especially those of strong or violent intensity. Mesocyclones can be readily detected by Doppler radar, and their distinguishing characteristics measured. A small sample of 17 Oklahoma storms containing mesocyclones was investigated in an effort to find optimum tornado predictors. The mesocyclone characteristic that provided the basis for the longest and most accurate warnings for violent (F4 and FS) as well as strong (F2 and F3) tornadoes is excess rotational kinetic energy (ERKE), defined as the rotational kinetic energy of the mesocyclone core calculated after subtraction from mesocyclone rotational velocity of the product of core radius and a selected value of threshold mesocyclonic shear. Rotational velocity also offered a basis for excellent warnings of the strong tornadoes. Little or no skill was achieved for identification of weak (F0 and F1) tornadoes. However, the distinctive warnings possible for strong and violent tornadoes in this small sample, using ERKE, offer reasonable promise of similar results when next generation weather radar (NEXRAD) becomes operational.
    publisherAmerican Meteorological Society
    titleImprovement of Tornado Warnings by Doppler Radar Measurement of Mesocyclone Rotational Kinetic Energy
    typeJournal Paper
    journal volume5
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1990)005<0247:IOTWBD>2.0.CO;2
    journal fristpage247
    journal lastpage258
    treeWeather and Forecasting:;1990:;volume( 005 ):;issue: 002
    contenttypeFulltext
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