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    Tornadoes from Squall Lines and Bow Echoes. Part I: Climatological Distribution

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 001::page 23
    Author:
    Trapp, Robert J.
    ,
    Tessendorf, Sarah A.
    ,
    Godfrey, Elaine Savageau
    ,
    Brooks, Harold E.
    DOI: 10.1175/WAF-835.1
    Publisher: American Meteorological Society
    Abstract: The primary objective of this study was to estimate the percentage of U.S. tornadoes that are spawned annually by squall lines and bow echoes, or quasi-linear convective systems (QLCSs). This was achieved by examining radar reflectivity images for every tornado event recorded during 1998?2000 in the contiguous United States. Based on these images, the type of storm associated with each tornado was classified as cell, QLCS, or other. Of the 3828 tornadoes in the database, 79% were produced by cells, 18% were produced by QLCSs, and the remaining 3% were produced by other storm types, primarily rainbands of landfallen tropical cyclones. Geographically, these percentages as well as those based on tornado days exhibited wide variations. For example, 50% of the tornado days in Indiana were associated with QLCSs. In an examination of other tornado attributes, statistically more weak (F1) and fewer strong (F2?F3) tornadoes were associated with QLCSs than with cells. QLCS tornadoes were more probable during the winter months than were cells. And finally, QLCS tornadoes displayed a comparatively higher and statistically significant tendency to occur during the late night/early morning hours. Further analysis revealed a disproportional decrease in F0?F1 events during this time of day, which led the authors to propose that many (perhaps as many as 12% of the total) weak QLCSs tornadoes were not reported.
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      Tornadoes from Squall Lines and Bow Echoes. Part I: Climatological Distribution

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    contributor authorTrapp, Robert J.
    contributor authorTessendorf, Sarah A.
    contributor authorGodfrey, Elaine Savageau
    contributor authorBrooks, Harold E.
    date accessioned2017-06-09T17:34:53Z
    date available2017-06-09T17:34:53Z
    date copyright2005/02/01
    date issued2005
    identifier issn0882-8156
    identifier otherams-87520.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231198
    description abstractThe primary objective of this study was to estimate the percentage of U.S. tornadoes that are spawned annually by squall lines and bow echoes, or quasi-linear convective systems (QLCSs). This was achieved by examining radar reflectivity images for every tornado event recorded during 1998?2000 in the contiguous United States. Based on these images, the type of storm associated with each tornado was classified as cell, QLCS, or other. Of the 3828 tornadoes in the database, 79% were produced by cells, 18% were produced by QLCSs, and the remaining 3% were produced by other storm types, primarily rainbands of landfallen tropical cyclones. Geographically, these percentages as well as those based on tornado days exhibited wide variations. For example, 50% of the tornado days in Indiana were associated with QLCSs. In an examination of other tornado attributes, statistically more weak (F1) and fewer strong (F2?F3) tornadoes were associated with QLCSs than with cells. QLCS tornadoes were more probable during the winter months than were cells. And finally, QLCS tornadoes displayed a comparatively higher and statistically significant tendency to occur during the late night/early morning hours. Further analysis revealed a disproportional decrease in F0?F1 events during this time of day, which led the authors to propose that many (perhaps as many as 12% of the total) weak QLCSs tornadoes were not reported.
    publisherAmerican Meteorological Society
    titleTornadoes from Squall Lines and Bow Echoes. Part I: Climatological Distribution
    typeJournal Paper
    journal volume20
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-835.1
    journal fristpage23
    journal lastpage34
    treeWeather and Forecasting:;2005:;volume( 020 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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