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    Estimation and Extrapolation of the Atmospheric State Parameters on the Mesoscale Level Using a Kalman Filter Algorithm

    Source: Journal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 003::page 488
    Author:
    Komarov, V. S.
    ,
    Il'in, S. N.
    ,
    Kreminskii, A. V.
    ,
    Lomakina, N. Ya
    ,
    Popov, Yu B.
    ,
    Popova, A. I.
    ,
    Suvorov, S. S.
    DOI: 10.1175/1520-0426(2004)021<0488:EAEOTA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A methodology and algorithms of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The atmospheric state and parameters are estimated using an extended Kalman filter for a simplified model of the space?time behavior of atmospheric parameters. The model is described by first-order stochastic differential equations. The results of statistical estimation of the quality of the algorithms used for spatial extrapolation of the mesoscale temperature and wind velocity fields are discussed.
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      Estimation and Extrapolation of the Atmospheric State Parameters on the Mesoscale Level Using a Kalman Filter Algorithm

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4159323
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorKomarov, V. S.
    contributor authorIl'in, S. N.
    contributor authorKreminskii, A. V.
    contributor authorLomakina, N. Ya
    contributor authorPopov, Yu B.
    contributor authorPopova, A. I.
    contributor authorSuvorov, S. S.
    date accessioned2017-06-09T14:36:51Z
    date available2017-06-09T14:36:51Z
    date copyright2004/03/01
    date issued2004
    identifier issn0739-0572
    identifier otherams-2283.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4159323
    description abstractA methodology and algorithms of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The atmospheric state and parameters are estimated using an extended Kalman filter for a simplified model of the space?time behavior of atmospheric parameters. The model is described by first-order stochastic differential equations. The results of statistical estimation of the quality of the algorithms used for spatial extrapolation of the mesoscale temperature and wind velocity fields are discussed.
    publisherAmerican Meteorological Society
    titleEstimation and Extrapolation of the Atmospheric State Parameters on the Mesoscale Level Using a Kalman Filter Algorithm
    typeJournal Paper
    journal volume21
    journal issue3
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2004)021<0488:EAEOTA>2.0.CO;2
    journal fristpage488
    journal lastpage494
    treeJournal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 003
    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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