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    Machine Learning for Nonorographic Gravity Waves in a Climate Model

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
    Author:
    Hardiman, Steven C.
    ,
    Scaife, Adam A.
    ,
    van Niekerk, Annelize
    ,
    Prudden, Rachel
    ,
    Owen, Aled
    ,
    Adams, Samantha V.
    ,
    Dunstan, Tom
    ,
    Dunstone, Nick J.
    ,
    Madge, Sam
    DOI: 10.1175/AIES-D-22-0081.1
    Publisher: American Meteorological Society
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      Machine Learning for Nonorographic Gravity Waves in a Climate Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4301111
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    • Artificial Intelligence for the Earth Systems

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    contributor authorHardiman, Steven C.
    contributor authorScaife, Adam A.
    contributor authorvan Niekerk, Annelize
    contributor authorPrudden, Rachel
    contributor authorOwen, Aled
    contributor authorAdams, Samantha V.
    contributor authorDunstan, Tom
    contributor authorDunstone, Nick J.
    contributor authorMadge, Sam
    date accessioned2024-12-24T14:39:14Z
    date available2024-12-24T14:39:14Z
    date copyright01 Oct. 2023
    date issued2023
    identifier otheraies-AIES-D-22-0081.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301111
    languageEnglish
    publisherAmerican Meteorological Society
    titleMachine Learning for Nonorographic Gravity Waves in a Climate Model
    typeJournal Paper
    journal volume2
    journal issue4
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-22-0081.1
    journal lastpagee220081
    treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
    contenttypeFulltext
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