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    Characterization of Tornado Spectral Signatures Using Higher-Order Spectra

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 012::page 1997
    Author:
    Yu, Tian-You
    ,
    Wang, Yadong
    ,
    Shapiro, Alan
    ,
    Yeary, Mark B.
    ,
    Zrnić, Dusan S.
    ,
    Doviak, Richard J.
    DOI: 10.1175/2007JTECHA934.1
    Publisher: American Meteorological Society
    Abstract: Distinct tornado spectral signatures (TSSs), which are similar to white noise spectra or have bimodal features, have been observed in both simulations and real data from Doppler radars. The shape of the tornado spectrum depends on several parameters such as the range of the tornado, wind field within the storm, and the reflectivity structure. In this work, one of the higher-order spectra (HOS), termed bispectrum, is implemented to characterize TSS, in which the Doppler spectrum is considered a 1D pattern. Bispectrum has been successfully applied to pattern recognition in other fields owing to the fact that bispectrum can retain the shape information of the signal. Another parameter, termed spectral flatness, is proposed to quantify the spectrum variations. It is shown in simulation that both parameters can characterize TSS and provide information in addition to the three spectral moments. The performance of the two parameters and the spectrum width for characterizing TSS are statistically analyzed and compared for various conditions. The potential of the three parameters for improving tornado detection is further demonstrated by tornadic time series data collected by a research Weather Surveillance Radar-1988 Doppler, KOUN, operated by the National Severe Storms Laboratory.
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      Characterization of Tornado Spectral Signatures Using Higher-Order Spectra

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4207416
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    contributor authorYu, Tian-You
    contributor authorWang, Yadong
    contributor authorShapiro, Alan
    contributor authorYeary, Mark B.
    contributor authorZrnić, Dusan S.
    contributor authorDoviak, Richard J.
    date accessioned2017-06-09T16:20:34Z
    date available2017-06-09T16:20:34Z
    date copyright2007/12/01
    date issued2007
    identifier issn0739-0572
    identifier otherams-66115.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207416
    description abstractDistinct tornado spectral signatures (TSSs), which are similar to white noise spectra or have bimodal features, have been observed in both simulations and real data from Doppler radars. The shape of the tornado spectrum depends on several parameters such as the range of the tornado, wind field within the storm, and the reflectivity structure. In this work, one of the higher-order spectra (HOS), termed bispectrum, is implemented to characterize TSS, in which the Doppler spectrum is considered a 1D pattern. Bispectrum has been successfully applied to pattern recognition in other fields owing to the fact that bispectrum can retain the shape information of the signal. Another parameter, termed spectral flatness, is proposed to quantify the spectrum variations. It is shown in simulation that both parameters can characterize TSS and provide information in addition to the three spectral moments. The performance of the two parameters and the spectrum width for characterizing TSS are statistically analyzed and compared for various conditions. The potential of the three parameters for improving tornado detection is further demonstrated by tornadic time series data collected by a research Weather Surveillance Radar-1988 Doppler, KOUN, operated by the National Severe Storms Laboratory.
    publisherAmerican Meteorological Society
    titleCharacterization of Tornado Spectral Signatures Using Higher-Order Spectra
    typeJournal Paper
    journal volume24
    journal issue12
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/2007JTECHA934.1
    journal fristpage1997
    journal lastpage2013
    treeJournal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 012
    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