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    Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    Author:
    Barahona, Donifan
    ,
    Breen, Katherine H.
    ,
    Kalesse-Los, Heike
    ,
    Röttenbacher, Johannes
    DOI: 10.1175/AIES-D-23-0025.1
    Publisher: American Meteorological Society
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      Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4299634
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    • Artificial Intelligence for the Earth Systems

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    contributor authorBarahona, Donifan
    contributor authorBreen, Katherine H.
    contributor authorKalesse-Los, Heike
    contributor authorRöttenbacher, Johannes
    date accessioned2024-12-24T13:48:12Z
    date available2024-12-24T13:48:12Z
    date copyright01 Jan. 2024
    date issued2024
    identifier otheraies-AIES-D-23-0025.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299634
    languageEnglish
    publisherAmerican Meteorological Society
    titleDeep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training
    typeJournal Paper
    journal volume3
    journal issue1
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0025.1
    journal lastpagee230025
    treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    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