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    Investigating Extratropical Influence on the Equatorial Atlantic Zonal Bias with Regional Data Assimilation

    Source: Journal of Climate:;2022:;volume( 035 ):;issue: 018::page 6101
    Author:
    Tianying Liu
    ,
    Zhengyu Liu
    ,
    Yuchu Zhao
    ,
    Shaoqing Zhang
    DOI: 10.1175/JCLI-D-21-0610.1
    Publisher: American Meteorological Society
    Abstract: A reversal of zonal sea surface temperature (SST) gradient in the equatorial Atlantic is a common bias in climate models. Studies to investigate the origin of this bias mainly focused on the tropics itself. Applying the regional data assimilation method in the GFDL CM2.1 model, we investigate the combined and respective influences of the northern and southern extratropics on this bias. It is found that the reversed zonal SST gradient bias is caused to a considerable extent by the extratropical atmosphere, especially by the northern extratropics. This extratropical impact on the equator occurs mainly through influencing the Hadley circulation. Therefore, the ITCZ position in boreal spring in this model most likely determines the dominant role of northern extratropics in the spring equatorial westerly bias and additionally the zonal SST gradient bias. Due to the cold bias in the extratropical atmosphere, the northward shift of the ITCZ coupled with the increased meridional SST gradient caused by assimilating the northern extratropics strengthens the cross-equatorial southeasterly wind, thus correcting the spring equatorial westerly bias. The strengthened spring equatorial easterlies further steepen the thermocline slope and enhance the eastern upwelling, thus reproducing the summer cold tongue and finally improving the annual-mean zonal SST gradient bias.
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      Investigating Extratropical Influence on the Equatorial Atlantic Zonal Bias with Regional Data Assimilation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4290221
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    contributor authorTianying Liu
    contributor authorZhengyu Liu
    contributor authorYuchu Zhao
    contributor authorShaoqing Zhang
    date accessioned2023-04-12T18:46:13Z
    date available2023-04-12T18:46:13Z
    date copyright2022/09/15
    date issued2022
    identifier otherJCLI-D-21-0610.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290221
    description abstractA reversal of zonal sea surface temperature (SST) gradient in the equatorial Atlantic is a common bias in climate models. Studies to investigate the origin of this bias mainly focused on the tropics itself. Applying the regional data assimilation method in the GFDL CM2.1 model, we investigate the combined and respective influences of the northern and southern extratropics on this bias. It is found that the reversed zonal SST gradient bias is caused to a considerable extent by the extratropical atmosphere, especially by the northern extratropics. This extratropical impact on the equator occurs mainly through influencing the Hadley circulation. Therefore, the ITCZ position in boreal spring in this model most likely determines the dominant role of northern extratropics in the spring equatorial westerly bias and additionally the zonal SST gradient bias. Due to the cold bias in the extratropical atmosphere, the northward shift of the ITCZ coupled with the increased meridional SST gradient caused by assimilating the northern extratropics strengthens the cross-equatorial southeasterly wind, thus correcting the spring equatorial westerly bias. The strengthened spring equatorial easterlies further steepen the thermocline slope and enhance the eastern upwelling, thus reproducing the summer cold tongue and finally improving the annual-mean zonal SST gradient bias.
    publisherAmerican Meteorological Society
    titleInvestigating Extratropical Influence on the Equatorial Atlantic Zonal Bias with Regional Data Assimilation
    typeJournal Paper
    journal volume35
    journal issue18
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-21-0610.1
    journal fristpage6101
    journal lastpage6117
    page6101–6117
    treeJournal of Climate:;2022:;volume( 035 ):;issue: 018
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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