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    Toward a Nonlinear Identification of the Atmospheric Response to ENSO

    Source: Journal of Climate:;2001:;volume( 014 ):;issue: 009::page 2138
    Author:
    Hannachi, A.
    DOI: 10.1175/1520-0442(2001)014<2138:TANIOT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Motivated by the need to understand the nature of the remote atmospheric climate signal associated with El Niño?Southern Oscillation (ENSO), the question is addressed of estimating the nonlinear atmospheric response to ENSO using state-of-the-art general circulation models (GCMs). A set of multidecadal integrations of the Hadley Centre GCM model, HadAM1, is considered and the focus is on the variability of the winter 500-mb heights over the North Pacific and North Atlantic basins. The method is based on optimally filtering the signal out given an estimate of the covariance matrices of the ensemble mean and the internal noise, respectively, and requires that the ensemble mean be split into clusters according to the phase of the Southern Oscillation and then the signal in each cluster found. Over the North Pacific, La Niña appears to trigger the negative Pacific?North American (PNA) oscillation while during El Niño the response is degenerate, that is, with more than one response pattern, where the first one has a zonally stretched PNA-like structure with a north?south seesaw signature and the second one is similar to the tropical Northern Hemisphere pattern. None of them is precisely the reverse of the response corresponding to La Niña (?PNA). A similar behavior is observed over the North Atlantic where a tripole pattern emerges during La Niña, whereas the first pattern obtained during El Niño shows a (tilted) dipole structure with a north?south seesaw.
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      Toward a Nonlinear Identification of the Atmospheric Response to ENSO

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    contributor authorHannachi, A.
    date accessioned2017-06-09T15:58:16Z
    date available2017-06-09T15:58:16Z
    date copyright2001/05/01
    date issued2001
    identifier issn0894-8755
    identifier otherams-5780.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4198178
    description abstractMotivated by the need to understand the nature of the remote atmospheric climate signal associated with El Niño?Southern Oscillation (ENSO), the question is addressed of estimating the nonlinear atmospheric response to ENSO using state-of-the-art general circulation models (GCMs). A set of multidecadal integrations of the Hadley Centre GCM model, HadAM1, is considered and the focus is on the variability of the winter 500-mb heights over the North Pacific and North Atlantic basins. The method is based on optimally filtering the signal out given an estimate of the covariance matrices of the ensemble mean and the internal noise, respectively, and requires that the ensemble mean be split into clusters according to the phase of the Southern Oscillation and then the signal in each cluster found. Over the North Pacific, La Niña appears to trigger the negative Pacific?North American (PNA) oscillation while during El Niño the response is degenerate, that is, with more than one response pattern, where the first one has a zonally stretched PNA-like structure with a north?south seesaw signature and the second one is similar to the tropical Northern Hemisphere pattern. None of them is precisely the reverse of the response corresponding to La Niña (?PNA). A similar behavior is observed over the North Atlantic where a tripole pattern emerges during La Niña, whereas the first pattern obtained during El Niño shows a (tilted) dipole structure with a north?south seesaw.
    publisherAmerican Meteorological Society
    titleToward a Nonlinear Identification of the Atmospheric Response to ENSO
    typeJournal Paper
    journal volume14
    journal issue9
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(2001)014<2138:TANIOT>2.0.CO;2
    journal fristpage2138
    journal lastpage2149
    treeJournal of Climate:;2001:;volume( 014 ):;issue: 009
    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
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