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    Optimal Generation of Radar Wind Profiler Spectra

    Source: Journal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 006::page 723
    Author:
    Wilfong, Timothy L.
    ,
    Merritt, David A.
    ,
    Lataitis, Richard J.
    ,
    Weber, Bob L.
    ,
    Wuertz, David B.
    ,
    Strauch, Richard G.
    DOI: 10.1175/1520-0426(1999)016<0723:OGORWP>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Radar wind profilers (RWPs) sense the mean and turbulent motion of the clear air through Doppler shifts induced along several (3?5) upward-looking beams. RWP signals, like all radars signals, are often contaminated. The contamination is clearly evident in the associated Doppler spectra, and automatic routines designed to extract meteorological quantities from these spectra often yield inaccurate results. Much of the observed contamination is due to an aliasing of higher frequency signals into the clear-air portion of the spectrum and a broadening of the spectral contaminants caused by the relatively short time series used to generate Doppler spectra. In the past, this source of contamination could not be avoided because of limitations on the size and speed of RWP processing computers. Today?s computers, however, are able to process larger amounts of data at greatly increased speeds. Here it is shown how standard and well-known spectral processing methods can be applied to significantly longer time series to reduce contamination in the radar spectra and thereby improve the accuracy and the reliability of meteorological products derived from RWP systems. In particular, spectral processing methods to identify and remove contamination that is often aliased into the clear-air portion of the spectrum are considered. Optimal techniques for combining multiple spectra to produce averaged spectra are also discussed.
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      Optimal Generation of Radar Wind Profiler Spectra

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4151045
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorWilfong, Timothy L.
    contributor authorMerritt, David A.
    contributor authorLataitis, Richard J.
    contributor authorWeber, Bob L.
    contributor authorWuertz, David B.
    contributor authorStrauch, Richard G.
    date accessioned2017-06-09T14:14:16Z
    date available2017-06-09T14:14:16Z
    date copyright1999/06/01
    date issued1999
    identifier issn0739-0572
    identifier otherams-1538.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4151045
    description abstractRadar wind profilers (RWPs) sense the mean and turbulent motion of the clear air through Doppler shifts induced along several (3?5) upward-looking beams. RWP signals, like all radars signals, are often contaminated. The contamination is clearly evident in the associated Doppler spectra, and automatic routines designed to extract meteorological quantities from these spectra often yield inaccurate results. Much of the observed contamination is due to an aliasing of higher frequency signals into the clear-air portion of the spectrum and a broadening of the spectral contaminants caused by the relatively short time series used to generate Doppler spectra. In the past, this source of contamination could not be avoided because of limitations on the size and speed of RWP processing computers. Today?s computers, however, are able to process larger amounts of data at greatly increased speeds. Here it is shown how standard and well-known spectral processing methods can be applied to significantly longer time series to reduce contamination in the radar spectra and thereby improve the accuracy and the reliability of meteorological products derived from RWP systems. In particular, spectral processing methods to identify and remove contamination that is often aliased into the clear-air portion of the spectrum are considered. Optimal techniques for combining multiple spectra to produce averaged spectra are also discussed.
    publisherAmerican Meteorological Society
    titleOptimal Generation of Radar Wind Profiler Spectra
    typeJournal Paper
    journal volume16
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1999)016<0723:OGORWP>2.0.CO;2
    journal fristpage723
    journal lastpage733
    treeJournal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 006
    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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