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    The NMC Operational Global Data Assimilation System

    Source: Monthly Weather Review:;1979:;volume( 107 ):;issue: 011::page 1445
    Author:
    McPherson, R. D.
    ,
    Bergman, K. H.
    ,
    Kistler, R. E.
    ,
    Rasch, G. E.
    ,
    Gordon, D. S.
    DOI: 10.1175/1520-0493(1979)107<1445:TNOGDA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A description is given of the global data assimilation system developed at the National Meteorological Center for treating the heterogeneous global data base. The system is based on updating a nine-level primitive equation prediction model by a local, multivariate, three-dimensional, statistical interpolation method. Updating is performed at 6 h intervals, directly in the prediction model's vertical coordinate. Observations are weighted according to estimates of the observational error of data from different sources. Preliminary performance characteristics are discussed and illustrated by examples.
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      The NMC Operational Global Data Assimilation System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4200129
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    • Monthly Weather Review

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    contributor authorMcPherson, R. D.
    contributor authorBergman, K. H.
    contributor authorKistler, R. E.
    contributor authorRasch, G. E.
    contributor authorGordon, D. S.
    date accessioned2017-06-09T16:02:38Z
    date available2017-06-09T16:02:38Z
    date copyright1979/11/01
    date issued1979
    identifier issn0027-0644
    identifier otherams-59558.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200129
    description abstractA description is given of the global data assimilation system developed at the National Meteorological Center for treating the heterogeneous global data base. The system is based on updating a nine-level primitive equation prediction model by a local, multivariate, three-dimensional, statistical interpolation method. Updating is performed at 6 h intervals, directly in the prediction model's vertical coordinate. Observations are weighted according to estimates of the observational error of data from different sources. Preliminary performance characteristics are discussed and illustrated by examples.
    publisherAmerican Meteorological Society
    titleThe NMC Operational Global Data Assimilation System
    typeJournal Paper
    journal volume107
    journal issue11
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1979)107<1445:TNOGDA>2.0.CO;2
    journal fristpage1445
    journal lastpage1461
    treeMonthly Weather Review:;1979:;volume( 107 ):;issue: 011
    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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