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    Uncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic Parameters

    Source: Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 009::page 1223
    Author:
    Nourani, Vahid
    ,
    Khodkar, Kasra
    ,
    Baghanam, Aida Hosseini
    ,
    Kantoush, Sameh Ahmed
    ,
    Demir, Ibrahim
    DOI: 10.1175/JAMC-D-23-0057.1
    Publisher: American Meteorological Society
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      Uncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic Parameters

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4300464
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    contributor authorNourani, Vahid
    contributor authorKhodkar, Kasra
    contributor authorBaghanam, Aida Hosseini
    contributor authorKantoush, Sameh Ahmed
    contributor authorDemir, Ibrahim
    date accessioned2024-12-24T14:16:37Z
    date available2024-12-24T14:16:37Z
    date copyright01 Sep. 2023
    date issued2023
    identifier otherapme-JAMC-D-23-0057.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300464
    languageEnglish
    publisherAmerican Meteorological Society
    titleUncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic Parameters
    typeJournal Paper
    journal volume62
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-23-0057.1
    journal fristpage1223
    journal lastpage1242
    treeJournal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 009
    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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