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    Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature

    Source: Journal of Applied Meteorology and Climatology:;2020:;volume( 059 ):;issue: 012::page 2057
    Author:
    Sha, Yingkai;Gagne II, David John;West, Gregory;Stull, Roland
    DOI: 10.1175/JAMC-D-20-0057.1
    Publisher: American Meteorological Society
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      Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4280441
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    contributor authorSha, Yingkai;Gagne II, David John;West, Gregory;Stull, Roland
    date accessioned2022-03-26T19:41:00Z
    date available2022-03-26T19:41:00Z
    date copyright01 Dec. 2020
    date issued2020
    identifier otherjamc-d-20-0057.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280441
    publisherAmerican Meteorological Society
    titleDeep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature
    typeJournal Paper
    journal volume59
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-20-0057.1
    journal fristpage2057
    journal lastpage2073
    treeJournal of Applied Meteorology and Climatology:;2020:;volume( 059 ):;issue: 012
    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
    yabeshDSpacePersian