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    Statistical Characteristics of Unsteady Storms in Radar Observations for the Beijing–Tianjin Region

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 001::page 106
    Author:
    Wang, Yu
    ,
    Wang, Hong-Qing
    ,
    Han, Lei
    ,
    Lin, Yin-Jing
    ,
    Zhang, Yan
    DOI: 10.1175/JAMC-D-14-0043.1
    Publisher: American Meteorological Society
    Abstract: his study was designed to provide basic information for the improvement of storm nowcasting. According to the mean direction deviation of storm movement, storms were classified into three types: 1) steady storms (S storms, extrapolated efficiently), 2) unsteady storms (U storms, extrapolated poorly), and 3) transitional storms (T storms). The U storms do not fit the linear extrapolation processes because of their unsteady movements. A 6-yr warm-season radar observation dataset was used to highlight and analyze the differences between U storms and S storms. The analysis included geometric features, dynamic factors, and environmental parameters. The results showed that storms with the following characteristics changed movement direction most easily in the Beijing?Tianjin region: 1) smaller storm area, 2) lower thickness (echo-top height minus base height), 3) lower movement speed, 4) weaker updrafts and the maximum value located in the mid- and upper troposphere, 5) storm-relative vertical wind profiles dominated by directional shear instead of speed shear, 6) lower relative humidity in the mid- and upper troposphere, and 7) higher surface evaporation and ground roughness.
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      Statistical Characteristics of Unsteady Storms in Radar Observations for the Beijing–Tianjin Region

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4217333
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    • Journal of Applied Meteorology and Climatology

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    contributor authorWang, Yu
    contributor authorWang, Hong-Qing
    contributor authorHan, Lei
    contributor authorLin, Yin-Jing
    contributor authorZhang, Yan
    date accessioned2017-06-09T16:50:18Z
    date available2017-06-09T16:50:18Z
    date copyright2015/01/01
    date issued2014
    identifier issn1558-8424
    identifier otherams-75041.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217333
    description abstracthis study was designed to provide basic information for the improvement of storm nowcasting. According to the mean direction deviation of storm movement, storms were classified into three types: 1) steady storms (S storms, extrapolated efficiently), 2) unsteady storms (U storms, extrapolated poorly), and 3) transitional storms (T storms). The U storms do not fit the linear extrapolation processes because of their unsteady movements. A 6-yr warm-season radar observation dataset was used to highlight and analyze the differences between U storms and S storms. The analysis included geometric features, dynamic factors, and environmental parameters. The results showed that storms with the following characteristics changed movement direction most easily in the Beijing?Tianjin region: 1) smaller storm area, 2) lower thickness (echo-top height minus base height), 3) lower movement speed, 4) weaker updrafts and the maximum value located in the mid- and upper troposphere, 5) storm-relative vertical wind profiles dominated by directional shear instead of speed shear, 6) lower relative humidity in the mid- and upper troposphere, and 7) higher surface evaporation and ground roughness.
    publisherAmerican Meteorological Society
    titleStatistical Characteristics of Unsteady Storms in Radar Observations for the Beijing–Tianjin Region
    typeJournal Paper
    journal volume54
    journal issue1
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-14-0043.1
    journal fristpage106
    journal lastpage116
    treeJournal of Applied Meteorology and Climatology:;2014:;volume( 054 ):;issue: 001
    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
    yabeshDSpacePersian