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    Application of a Bayesian Wind Profile Retrieval Technique to Radar Data Collected in the Alpine Southern Upslope Region and Comparison with Upstream Wind Profiler Measurements

    Source: Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 006::page 875
    Author:
    Tabary, P.
    ,
    Petitdidier, M.
    DOI: 10.1175/1520-0426(2002)019<0875:AOABWP>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In this paper, a new operational technique to retrieve the horizontal wind profile from Doppler radar measurements is used to carry out a statistical comparison of upslope and upstream wind profiles in the southern flank of the European Alps. The method relies upon a first-order velocity azimuth display (VAD) expansion of the radial velocity and allows for recovering, through Bayesian updates, the likeliest wind speed and direction at each height. The major advantage of this new approach over existing ones is that it does not require any preliminary dealiasing of the radar data. This original feature makes it very well suited to real-time operational purposes. The method has been applied to 1248 volumetric sequences collected during the recent Mesoscale Alpine Programme (MAP) experiment by the Swiss C-band Monte Lema radar located in the alpine upslope region. The resulting profiles are compared to simultaneous measurements obtained upstream by the French Institut National des Sciences de l'Univers (INSU)/Météo-France VHF wind profiler. This extensive comparison allows validating of the proposed Bayesian VAD and inferring of some statistical properties of the wind profile during precipitation events in the southern Alps.
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      Application of a Bayesian Wind Profile Retrieval Technique to Radar Data Collected in the Alpine Southern Upslope Region and Comparison with Upstream Wind Profiler Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4156213
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    contributor authorTabary, P.
    contributor authorPetitdidier, M.
    date accessioned2017-06-09T14:28:49Z
    date available2017-06-09T14:28:49Z
    date copyright2002/06/01
    date issued2002
    identifier issn0739-0572
    identifier otherams-2003.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4156213
    description abstractIn this paper, a new operational technique to retrieve the horizontal wind profile from Doppler radar measurements is used to carry out a statistical comparison of upslope and upstream wind profiles in the southern flank of the European Alps. The method relies upon a first-order velocity azimuth display (VAD) expansion of the radial velocity and allows for recovering, through Bayesian updates, the likeliest wind speed and direction at each height. The major advantage of this new approach over existing ones is that it does not require any preliminary dealiasing of the radar data. This original feature makes it very well suited to real-time operational purposes. The method has been applied to 1248 volumetric sequences collected during the recent Mesoscale Alpine Programme (MAP) experiment by the Swiss C-band Monte Lema radar located in the alpine upslope region. The resulting profiles are compared to simultaneous measurements obtained upstream by the French Institut National des Sciences de l'Univers (INSU)/Météo-France VHF wind profiler. This extensive comparison allows validating of the proposed Bayesian VAD and inferring of some statistical properties of the wind profile during precipitation events in the southern Alps.
    publisherAmerican Meteorological Society
    titleApplication of a Bayesian Wind Profile Retrieval Technique to Radar Data Collected in the Alpine Southern Upslope Region and Comparison with Upstream Wind Profiler Measurements
    typeJournal Paper
    journal volume19
    journal issue6
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2002)019<0875:AOABWP>2.0.CO;2
    journal fristpage875
    journal lastpage887
    treeJournal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;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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