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    Some Considerations for the Use of High-Resolution Mobile Radar Data in Tornado Intensity Determination

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 004::page 799
    Author:
    Snyder, Jeffrey C.
    ,
    Bluestein, Howard B.
    DOI: 10.1175/WAF-D-14-00026.1
    Publisher: American Meteorological Society
    Abstract: he increasing number of mobile Doppler radars used in field campaigns across the central United States has led to an increasing number of high-resolution radar datasets of strong tornadoes. There are more than a few instances in which the radar-measured radial velocities substantially exceed the estimated wind speeds associated with the enhanced Fujita (EF) scale rating assigned to a particular tornado. It is imperative, however, to understand what the radar data represent if one wants to compare radar observations to damage-based EF-scale estimates. A violent tornado observed by the rapid-scan, X-band, polarimetric mobile radar (RaXPol) on 31 May 2013 contained radar-relative radial velocities exceeding 135 m s?1 in rural areas essentially devoid of structures from which damage ratings can be made. This case, along with others, serves as an excellent example of some of the complications that arise when comparing radar-estimated velocities with the criteria established in the EF scale. In addition, it is shown that data from polarimetric radars should reduce the variance of radar-relative radial velocity estimates within the debris field compared to data from single-polarization radars. Polarimetric radars can also be used to retrieve differential velocity, large magnitudes of which are spatially associated with large spectrum widths inside the polarimetric tornado debris signature in several datasets of intense tornadoes sampled by RaXPol.
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      Some Considerations for the Use of High-Resolution Mobile Radar Data in Tornado Intensity Determination

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4231762
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    contributor authorSnyder, Jeffrey C.
    contributor authorBluestein, Howard B.
    date accessioned2017-06-09T17:36:37Z
    date available2017-06-09T17:36:37Z
    date copyright2014/08/01
    date issued2014
    identifier issn0882-8156
    identifier otherams-88027.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231762
    description abstracthe increasing number of mobile Doppler radars used in field campaigns across the central United States has led to an increasing number of high-resolution radar datasets of strong tornadoes. There are more than a few instances in which the radar-measured radial velocities substantially exceed the estimated wind speeds associated with the enhanced Fujita (EF) scale rating assigned to a particular tornado. It is imperative, however, to understand what the radar data represent if one wants to compare radar observations to damage-based EF-scale estimates. A violent tornado observed by the rapid-scan, X-band, polarimetric mobile radar (RaXPol) on 31 May 2013 contained radar-relative radial velocities exceeding 135 m s?1 in rural areas essentially devoid of structures from which damage ratings can be made. This case, along with others, serves as an excellent example of some of the complications that arise when comparing radar-estimated velocities with the criteria established in the EF scale. In addition, it is shown that data from polarimetric radars should reduce the variance of radar-relative radial velocity estimates within the debris field compared to data from single-polarization radars. Polarimetric radars can also be used to retrieve differential velocity, large magnitudes of which are spatially associated with large spectrum widths inside the polarimetric tornado debris signature in several datasets of intense tornadoes sampled by RaXPol.
    publisherAmerican Meteorological Society
    titleSome Considerations for the Use of High-Resolution Mobile Radar Data in Tornado Intensity Determination
    typeJournal Paper
    journal volume29
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-14-00026.1
    journal fristpage799
    journal lastpage827
    treeWeather and Forecasting:;2014:;volume( 029 ):;issue: 004
    contenttypeFulltext
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