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    Technique for Improving Detection of WSR-88D Mesocyclone Signatures by Increasing Angular Sampling

    Source: Weather and Forecasting:;2001:;volume( 016 ):;issue: 001::page 177
    Author:
    Wood, Vincent T.
    ,
    Brown, Rodger A.
    ,
    Sirmans, Dale
    DOI: 10.1175/1520-0434(2001)016<0177:TFIDOW>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The Doppler velocity signature of a thunderstorm mesocyclone becomes increasingly degraded as distance from the radar increases. Degradation is due to the broadening of the radar beam with range relative to the size of the mesocyclone. Using a model mesocyclone and a simulated WSR-88D Doppler radar, a potential approach for improving the detection of mesocyclones is investigated. The approach involves decreasing the azimuthal sampling interval from the conventional 1.0° to 0.5°. Using model mesocyclones that cover the spread of expected mesocyclone sizes and strengths, simulations show that stronger mesocyclone signatures consistently are produced when radar data are collected at 0.5° azimuthal increments. Consequently, the distance from the radar at which a mesocyclone of a given strength and size can be detected increases by an average of at least 50% when data are collected using 0.5° azimuthal increments. The simulated findings are tested using Archive Level I (time series) data collected by the WSR-88D Operational Support Facility?s KCRI radar during the Oklahoma?Kansas tornado outbreak of 3 May 1999. With the availability of time series data, an Archive Level II dataset was produced for both 1.0° and 0.5° azimuthal intervals. One-third of the mesocyclone signatures collected using 0.5° azimuthal intervals were 10% to over 50% stronger than their 1.0° azimuthal interval counterparts.
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      Technique for Improving Detection of WSR-88D Mesocyclone Signatures by Increasing Angular Sampling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4169145
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    contributor authorWood, Vincent T.
    contributor authorBrown, Rodger A.
    contributor authorSirmans, Dale
    date accessioned2017-06-09T14:59:51Z
    date available2017-06-09T14:59:51Z
    date copyright2001/02/01
    date issued2001
    identifier issn0882-8156
    identifier otherams-3167.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4169145
    description abstractThe Doppler velocity signature of a thunderstorm mesocyclone becomes increasingly degraded as distance from the radar increases. Degradation is due to the broadening of the radar beam with range relative to the size of the mesocyclone. Using a model mesocyclone and a simulated WSR-88D Doppler radar, a potential approach for improving the detection of mesocyclones is investigated. The approach involves decreasing the azimuthal sampling interval from the conventional 1.0° to 0.5°. Using model mesocyclones that cover the spread of expected mesocyclone sizes and strengths, simulations show that stronger mesocyclone signatures consistently are produced when radar data are collected at 0.5° azimuthal increments. Consequently, the distance from the radar at which a mesocyclone of a given strength and size can be detected increases by an average of at least 50% when data are collected using 0.5° azimuthal increments. The simulated findings are tested using Archive Level I (time series) data collected by the WSR-88D Operational Support Facility?s KCRI radar during the Oklahoma?Kansas tornado outbreak of 3 May 1999. With the availability of time series data, an Archive Level II dataset was produced for both 1.0° and 0.5° azimuthal intervals. One-third of the mesocyclone signatures collected using 0.5° azimuthal intervals were 10% to over 50% stronger than their 1.0° azimuthal interval counterparts.
    publisherAmerican Meteorological Society
    titleTechnique for Improving Detection of WSR-88D Mesocyclone Signatures by Increasing Angular Sampling
    typeJournal Paper
    journal volume16
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(2001)016<0177:TFIDOW>2.0.CO;2
    journal fristpage177
    journal lastpage184
    treeWeather and Forecasting:;2001:;volume( 016 ):;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
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