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    A Global Three-Dimensional Multivariate Statistical Interpolation Scheme

    Source: Monthly Weather Review:;1981:;volume( 109 ):;issue: 004::page 701
    Author:
    Lorenc, A. C.
    DOI: 10.1175/1520-0493(1981)109<0701:AGTDMS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A three-dimensional statistical interpolation method, multivariate in geopotential height, thickness and wind, is described. The method has been implemented in the ECMWF operational global data-assimilation scheme, used for routine forecasting and for producing FGGE level III-b analyses. It is distinguished by the large number of data used simultaneously, enabling full exploitation of the potential of the three-dimensional multivariate technique, and by the incorporation of a statistical quality control check on each datum using the analysis itself. Some simple examples illustrating the properties of the method are presented, and a detailed study is made of the effect of various analysis parameters on one practical example.
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      A Global Three-Dimensional Multivariate Statistical Interpolation Scheme

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4200453
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    contributor authorLorenc, A. C.
    date accessioned2017-06-09T16:03:20Z
    date available2017-06-09T16:03:20Z
    date copyright1981/04/01
    date issued1981
    identifier issn0027-0644
    identifier otherams-59850.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200453
    description abstractA three-dimensional statistical interpolation method, multivariate in geopotential height, thickness and wind, is described. The method has been implemented in the ECMWF operational global data-assimilation scheme, used for routine forecasting and for producing FGGE level III-b analyses. It is distinguished by the large number of data used simultaneously, enabling full exploitation of the potential of the three-dimensional multivariate technique, and by the incorporation of a statistical quality control check on each datum using the analysis itself. Some simple examples illustrating the properties of the method are presented, and a detailed study is made of the effect of various analysis parameters on one practical example.
    publisherAmerican Meteorological Society
    titleA Global Three-Dimensional Multivariate Statistical Interpolation Scheme
    typeJournal Paper
    journal volume109
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1981)109<0701:AGTDMS>2.0.CO;2
    journal fristpage701
    journal lastpage721
    treeMonthly Weather Review:;1981:;volume( 109 ):;issue: 004
    contenttypeFulltext
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