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    Using Bayesian Networks to Investigate the Influence of Subseasonal Arctic Variability on Midlatitude North Atlantic Circulation

    Source: Journal of Climate:;2021:;volume( 034 ):;issue: 006::page 2319
    Author:
    Harwood, Nathanael;Hall, Richard;Di Capua, Giorgia;Russell, Andrew;Tucker, Allan
    DOI: 10.1175/JCLI-D-20-0369.1
    Publisher: American Meteorological Society
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      Using Bayesian Networks to Investigate the Influence of Subseasonal Arctic Variability on Midlatitude North Atlantic Circulation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4279222
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    contributor authorHarwood, Nathanael;Hall, Richard;Di Capua, Giorgia;Russell, Andrew;Tucker, Allan
    date accessioned2022-03-26T18:47:15Z
    date available2022-03-26T18:47:15Z
    date copyright01 Mar. 2021
    date issued2021
    identifier otherJCLI-D-20-0369.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4279222
    publisherAmerican Meteorological Society
    titleUsing Bayesian Networks to Investigate the Influence of Subseasonal Arctic Variability on Midlatitude North Atlantic Circulation
    typeJournal Paper
    journal volume34
    journal issue6
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0369.1
    journal fristpage2319
    journal lastpage2335
    treeJournal of Climate:;2021:;volume( 034 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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