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    Subseasonal Representation and Predictability of North American Weather Regimes Using Cluster Analysis

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author:
    Molina, Maria J.
    ,
    Richter, Jadwiga H.
    ,
    Glanville, Anne A.
    ,
    Dagon, Katherine
    ,
    Berner, Judith
    ,
    Hu, Aixue
    ,
    Meehl, Gerald A.
    DOI: 10.1175/AIES-D-22-0051.1
    Publisher: American Meteorological Society
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      Subseasonal Representation and Predictability of North American Weather Regimes Using Cluster Analysis

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290738
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    • Artificial Intelligence for the Earth Systems

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    contributor authorMolina, Maria J.
    contributor authorRichter, Jadwiga H.
    contributor authorGlanville, Anne A.
    contributor authorDagon, Katherine
    contributor authorBerner, Judith
    contributor authorHu, Aixue
    contributor authorMeehl, Gerald A.
    date accessioned2023-08-15T10:39:23Z
    date available2023-08-15T10:39:23Z
    date copyright01 Apr. 2023
    date issued2023
    identifier otherAIES-D-22-0051.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290738
    languageEnglish
    publisherAmerican Meteorological Society
    titleSubseasonal Representation and Predictability of North American Weather Regimes Using Cluster Analysis
    typeJournal Paper
    journal volume2
    journal issue2
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-22-0051.1
    pagee220051
    treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;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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