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    Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 019::page 6796
    Author:
    Liu, Zhengyu
    ,
    Wen, Na
    ,
    Fan, Lei
    DOI: 10.1175/JCLI-D-11-00545.1
    Publisher: American Meteorological Society
    Abstract: hree statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation?dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length comparable with the observations (decades). The comparison is made first in an idealized coupled model and then in the observations. For daily to pentad data, for a linear stochastic system, the simple model study demonstrates that all three methods are able to provide a consistent assessment of the atmospheric response. For monthly data, GEFA is able to produce an assessment comparable with the daily or pentad assessments using the three methods. The consistence of the three methods is further confirmed in the observations for the responses of the atmospheric geopotential height (at 200 hPa) to the tropical ENSO mode and the North Pacific mode. It is found that the three methods produce a consistent response with the overall pattern correlation over 0.95 and the amplitude difference within 10%?20%. The consistent results in both the simple model and the observations suggest that the three statistical methods can be used as a cross validation on the robustness of the assessment of the atmospheric response to surface forcing in the observations.
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      Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT

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    contributor authorLiu, Zhengyu
    contributor authorWen, Na
    contributor authorFan, Lei
    date accessioned2017-06-09T17:05:18Z
    date available2017-06-09T17:05:18Z
    date copyright2012/10/01
    date issued2012
    identifier issn0894-8755
    identifier otherams-79195.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221948
    description abstracthree statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation?dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length comparable with the observations (decades). The comparison is made first in an idealized coupled model and then in the observations. For daily to pentad data, for a linear stochastic system, the simple model study demonstrates that all three methods are able to provide a consistent assessment of the atmospheric response. For monthly data, GEFA is able to produce an assessment comparable with the daily or pentad assessments using the three methods. The consistence of the three methods is further confirmed in the observations for the responses of the atmospheric geopotential height (at 200 hPa) to the tropical ENSO mode and the North Pacific mode. It is found that the three methods produce a consistent response with the overall pattern correlation over 0.95 and the amplitude difference within 10%?20%. The consistent results in both the simple model and the observations suggest that the three statistical methods can be used as a cross validation on the robustness of the assessment of the atmospheric response to surface forcing in the observations.
    publisherAmerican Meteorological Society
    titleAssessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
    typeJournal Paper
    journal volume25
    journal issue19
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00545.1
    journal fristpage6796
    journal lastpage6816
    treeJournal of Climate:;2012:;volume( 025 ):;issue: 019
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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