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    Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 007::page 1587
    Author:
    Ghazvinian, Mohammadvaghef
    ,
    Delle Monache, Luca
    ,
    Afzali Gorooh, Vesta
    ,
    Steinhoff, Daniel
    ,
    Sengupta, Agniv
    ,
    Hu, Weiming
    ,
    Simpson, Matthew
    ,
    Weihs, Rachel
    ,
    Papadopoulos, Caroline
    ,
    Mulrooney, Patrick
    ,
    Kawzenuk, Brian
    ,
    Mascioli, Nora
    ,
    Ralph, Fred Martin
    DOI: 10.1175/MWR-D-23-0277.1
    Publisher: American Meteorological Society
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      Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4301618
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    • Monthly Weather Review

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    contributor authorGhazvinian, Mohammadvaghef
    contributor authorDelle Monache, Luca
    contributor authorAfzali Gorooh, Vesta
    contributor authorSteinhoff, Daniel
    contributor authorSengupta, Agniv
    contributor authorHu, Weiming
    contributor authorSimpson, Matthew
    contributor authorWeihs, Rachel
    contributor authorPapadopoulos, Caroline
    contributor authorMulrooney, Patrick
    contributor authorKawzenuk, Brian
    contributor authorMascioli, Nora
    contributor authorRalph, Fred Martin
    date accessioned2024-12-24T14:58:21Z
    date available2024-12-24T14:58:21Z
    date copyright01 Jul. 2024
    date issued2024
    identifier othermwre-MWR-D-23-0277.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301618
    languageEnglish
    publisherAmerican Meteorological Society
    titleDeep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events
    typeJournal Paper
    journal volume152
    journal issue7
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-23-0277.1
    journal fristpage1587
    journal lastpage1605
    treeMonthly Weather Review:;2024:;volume( 152 ):;issue: 007
    contenttypeFulltext
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