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    Late-Twentieth-Century Simulation of Arctic Sea Ice and Ocean Properties in the CCSM4

    Source: Journal of Climate:;2011:;volume( 025 ):;issue: 005::page 1431
    Author:
    Jahn, Alexandra
    ,
    Sterling, Kara
    ,
    Holland, Marika M.
    ,
    Kay, Jennifer E.
    ,
    Maslanik, James A.
    ,
    Bitz, Cecilia M.
    ,
    Bailey, David A.
    ,
    Stroeve, Julienne
    ,
    Hunke, Elizabeth C.
    ,
    Lipscomb, William H.
    ,
    Pollak, Daniel A.
    DOI: 10.1175/JCLI-D-11-00201.1
    Publisher: American Meteorological Society
    Abstract: o establish how well the new Community Climate System Model, version 4 (CCSM4) simulates the properties of the Arctic sea ice and ocean, results from six CCSM4 twentieth-century ensemble simulations are compared here with the available data. It is found that the CCSM4 simulations capture most of the important climatological features of the Arctic sea ice and ocean state well, among them the sea ice thickness distribution, fraction of multiyear sea ice, and sea ice edge. The strongest bias exists in the simulated spring-to-fall sea ice motion field, the location of the Beaufort Gyre, and the temperature of the deep Arctic Ocean (below 250 m), which are caused by deficiencies in the simulation of the Arctic sea level pressure field and the lack of deep-water formation on the Arctic shelves. The observed decrease in the sea ice extent and the multiyear ice cover is well captured by the CCSM4. It is important to note, however, that the temporal evolution of the simulated Arctic sea ice cover over the satellite era is strongly influenced by internal variability. For example, while one ensemble member shows an even larger decrease in the sea ice extent over 1981?2005 than that observed, two ensemble members show no statistically significant trend over the same period. It is therefore important to compare the observed sea ice extent trend not just with the ensemble mean or a multimodel ensemble mean, but also with individual ensemble members, because of the strong imprint of internal variability on these relatively short trends.
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      Late-Twentieth-Century Simulation of Arctic Sea Ice and Ocean Properties in the CCSM4

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4221670
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    contributor authorJahn, Alexandra
    contributor authorSterling, Kara
    contributor authorHolland, Marika M.
    contributor authorKay, Jennifer E.
    contributor authorMaslanik, James A.
    contributor authorBitz, Cecilia M.
    contributor authorBailey, David A.
    contributor authorStroeve, Julienne
    contributor authorHunke, Elizabeth C.
    contributor authorLipscomb, William H.
    contributor authorPollak, Daniel A.
    date accessioned2017-06-09T17:04:19Z
    date available2017-06-09T17:04:19Z
    date copyright2012/03/01
    date issued2011
    identifier issn0894-8755
    identifier otherams-78945.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221670
    description abstracto establish how well the new Community Climate System Model, version 4 (CCSM4) simulates the properties of the Arctic sea ice and ocean, results from six CCSM4 twentieth-century ensemble simulations are compared here with the available data. It is found that the CCSM4 simulations capture most of the important climatological features of the Arctic sea ice and ocean state well, among them the sea ice thickness distribution, fraction of multiyear sea ice, and sea ice edge. The strongest bias exists in the simulated spring-to-fall sea ice motion field, the location of the Beaufort Gyre, and the temperature of the deep Arctic Ocean (below 250 m), which are caused by deficiencies in the simulation of the Arctic sea level pressure field and the lack of deep-water formation on the Arctic shelves. The observed decrease in the sea ice extent and the multiyear ice cover is well captured by the CCSM4. It is important to note, however, that the temporal evolution of the simulated Arctic sea ice cover over the satellite era is strongly influenced by internal variability. For example, while one ensemble member shows an even larger decrease in the sea ice extent over 1981?2005 than that observed, two ensemble members show no statistically significant trend over the same period. It is therefore important to compare the observed sea ice extent trend not just with the ensemble mean or a multimodel ensemble mean, but also with individual ensemble members, because of the strong imprint of internal variability on these relatively short trends.
    publisherAmerican Meteorological Society
    titleLate-Twentieth-Century Simulation of Arctic Sea Ice and Ocean Properties in the CCSM4
    typeJournal Paper
    journal volume25
    journal issue5
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00201.1
    journal fristpage1431
    journal lastpage1452
    treeJournal of Climate:;2011:;volume( 025 ):;issue: 005
    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