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    A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

    Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 010::page 3973
    Author:
    Tandeo, Pierre;Ailliot, Pierre;Bocquet, Marc;Carrassi, Alberto;Miyoshi, Takemasa;Pulido, Manuel;Zhen, Yicun
    DOI: 10.1175/MWR-D-19-0240.1
    Publisher: American Meteorological Society
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      A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4280980
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    contributor authorTandeo, Pierre;Ailliot, Pierre;Bocquet, Marc;Carrassi, Alberto;Miyoshi, Takemasa;Pulido, Manuel;Zhen, Yicun
    date accessioned2022-03-26T20:06:19Z
    date available2022-03-26T20:06:19Z
    date copyright01 Oct. 2020
    date issued2020
    identifier othermwrD190240.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280980
    publisherAmerican Meteorological Society
    titleA Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation
    typeJournal Paper
    journal volume148
    journal issue10
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-19-0240.1
    journal fristpage3973
    journal lastpage3994
    treeMonthly Weather Review:;2020:;volume( 148 ):;issue: 010
    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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