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    Improving Forecasts of the “21⋅7” Henan Extreme Rainfall Event Using a Radar Assimilation Scheme that Considers Hydrometeor Background Error Covariance

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 006::page 1379
    Author:
    Chen, Yaodeng
    ,
    Zheng, Hong
    ,
    Sun, Tao
    ,
    Meng, Deming
    ,
    Qin, Luyao
    ,
    Yin, Jinfang
    DOI: 10.1175/MWR-D-23-0190.1
    Publisher: American Meteorological Society
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      Improving Forecasts of the “21⋅7” Henan Extreme Rainfall Event Using a Radar Assimilation Scheme that Considers Hydrometeor Background Error Covariance

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4301602
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    • Monthly Weather Review

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    contributor authorChen, Yaodeng
    contributor authorZheng, Hong
    contributor authorSun, Tao
    contributor authorMeng, Deming
    contributor authorQin, Luyao
    contributor authorYin, Jinfang
    date accessioned2024-12-24T14:57:47Z
    date available2024-12-24T14:57:47Z
    date copyright01 Jun. 2024
    date issued2024
    identifier othermwre-MWR-D-23-0190.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301602
    languageEnglish
    publisherAmerican Meteorological Society
    titleImproving Forecasts of the “21⋅7” Henan Extreme Rainfall Event Using a Radar Assimilation Scheme that Considers Hydrometeor Background Error Covariance
    typeJournal Paper
    journal volume152
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-23-0190.1
    journal fristpage1379
    journal lastpage1397
    treeMonthly Weather Review:;2024:;volume( 152 ):;issue: 006
    contenttypeFulltext
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