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    Predicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 007::page E1170
    Author:
    Bushuk, Mitchell
    ,
    Ali, Sahara
    ,
    Bailey, David A.
    ,
    Bao, Qing
    ,
    Batté, Lauriane
    ,
    Bhatt, Uma S.
    ,
    Blanchard-Wrigglesworth, Edward
    ,
    Blockley, Ed
    ,
    Cawley, Gavin
    ,
    Chi, Junhwa
    ,
    Counillon, François
    ,
    Coulombe, Philippe Goulet
    ,
    Cullather, Richard I.
    ,
    Diebold, Francis
    DOI: 10.1175/BAMS-D-23-0163.1
    Publisher: American Meteorological Society
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      Predicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4301263
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    • Bulletin of the American Meteorological Society

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    contributor authorBushuk, Mitchell
    contributor authorAli, Sahara
    contributor authorBailey, David A.
    contributor authorBao, Qing
    contributor authorBatté, Lauriane
    contributor authorBhatt, Uma S.
    contributor authorBlanchard-Wrigglesworth, Edward
    contributor authorBlockley, Ed
    contributor authorCawley, Gavin
    contributor authorChi, Junhwa
    contributor authorCounillon, François
    contributor authorCoulombe, Philippe Goulet
    contributor authorCullather, Richard I.
    contributor authorDiebold, Francis
    date accessioned2024-12-24T14:44:47Z
    date available2024-12-24T14:44:47Z
    date copyright01 Jul. 2024
    date issued2024
    identifier otherbams-BAMS-D-23-0163.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301263
    languageEnglish
    publisherAmerican Meteorological Society
    titlePredicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison
    typeJournal Paper
    journal volume105
    journal issue7
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-23-0163.1
    journal fristpageE1170
    journal lastpageE1203
    treeBulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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