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    A Theory for Why Even Simple Covariance Localization Is So Useful in Ensemble Data Assimilation

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 003
    Author:
    Morzfeld, Matthias
    ,
    Hodyss, Daniel
    DOI: 10.1175/MWR-D-22-0255.1
    Publisher: American Meteorological Society
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      A Theory for Why Even Simple Covariance Localization Is So Useful in Ensemble Data Assimilation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4291199
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    • Monthly Weather Review

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    contributor authorMorzfeld, Matthias
    contributor authorHodyss, Daniel
    date accessioned2023-08-15T11:02:36Z
    date available2023-08-15T11:02:36Z
    date copyright01 Mar. 2023
    date issued2023
    identifier otherMWR-D-22-0255.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291199
    languageEnglish
    publisherAmerican Meteorological Society
    titleA Theory for Why Even Simple Covariance Localization Is So Useful in Ensemble Data Assimilation
    typeJournal Paper
    journal volume151
    journal issue3
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-22-0255.1
    page736-717
    treeMonthly Weather Review:;2023:;volume( 151 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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