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    New Method of Spatial Extrapolation of Meteorological Fields on the Mesoscale Level Using a Kalman Filter Algorithm for a Four-Dimensional Dynamic–Stochastic Model

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 002::page 182
    Author:
    Komarov, V. S.
    ,
    Lavrinenko, A. V.
    ,
    Kreminskii, A. V.
    ,
    Lomakina, N. Ya
    ,
    Popov, Yu B.
    ,
    Popova, A. I.
    DOI: 10.1175/JTECH1967.1
    Publisher: American Meteorological Society
    Abstract: A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic?stochastic model of space?time variations of the atmospheric parameters. The results of statistical estimation of the quality of the algorithm used for spatial extrapolation of mesoscale temperature and wind velocity fields are discussed.
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      New Method of Spatial Extrapolation of Meteorological Fields on the Mesoscale Level Using a Kalman Filter Algorithm for a Four-Dimensional Dynamic–Stochastic Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4227677
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    contributor authorKomarov, V. S.
    contributor authorLavrinenko, A. V.
    contributor authorKreminskii, A. V.
    contributor authorLomakina, N. Ya
    contributor authorPopov, Yu B.
    contributor authorPopova, A. I.
    date accessioned2017-06-09T17:23:24Z
    date available2017-06-09T17:23:24Z
    date copyright2007/02/01
    date issued2007
    identifier issn0739-0572
    identifier otherams-84351.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227677
    description abstractA new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic?stochastic model of space?time variations of the atmospheric parameters. The results of statistical estimation of the quality of the algorithm used for spatial extrapolation of mesoscale temperature and wind velocity fields are discussed.
    publisherAmerican Meteorological Society
    titleNew Method of Spatial Extrapolation of Meteorological Fields on the Mesoscale Level Using a Kalman Filter Algorithm for a Four-Dimensional Dynamic–Stochastic Model
    typeJournal Paper
    journal volume24
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH1967.1
    journal fristpage182
    journal lastpage193
    treeJournal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 002
    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