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    Improving Precipitation Forecasts with Convolutional Neural Networks

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002
    Author:
    Badrinath, Anirudhan
    ,
    Delle Monache, Luca
    ,
    Hayatbini, Negin
    ,
    Chapman, Will
    ,
    Cannon, Forest
    ,
    Ralph, Marty
    DOI: 10.1175/WAF-D-22-0002.1
    Publisher: American Meteorological Society
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      Improving Precipitation Forecasts with Convolutional Neural Networks

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4291212
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    • Weather and Forecasting

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    contributor authorBadrinath, Anirudhan
    contributor authorDelle Monache, Luca
    contributor authorHayatbini, Negin
    contributor authorChapman, Will
    contributor authorCannon, Forest
    contributor authorRalph, Marty
    date accessioned2023-08-15T11:03:24Z
    date available2023-08-15T11:03:24Z
    date copyright01 Feb. 2023
    date issued2023
    identifier otherWAF-D-22-0002.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291212
    languageEnglish
    publisherAmerican Meteorological Society
    titleImproving Precipitation Forecasts with Convolutional Neural Networks
    typeJournal Paper
    journal volume38
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-22-0002.1
    page306-291
    treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 002
    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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