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    Observations and Mechanisms of a Simple Stochastic Dynamical Model Capturing El Niño Diversity

    Source: Journal of Climate:;2017:;volume 031:;issue 001::page 449
    Author:
    Chen, Nan
    ,
    Majda, Andrew J.
    ,
    Thual, Sulian
    DOI: 10.1175/JCLI-D-16-0880.1
    Publisher: American Meteorological Society
    Abstract: AbstractEl Niño?Southern Oscillation (ENSO) has significant impact on global climate and relevance for seasonal forecasts. Recently, a simple modeling framework was developed that captures the ENSO diversity, where state-dependent stochastic wind bursts and nonlinear advection of sea surface temperature are coupled to a simple ocean?atmosphere model that is otherwise deterministic, linear, and stable. In this article, the coupled model is compared with observations using reanalysis data over the last 34 yr, where the observed non-Gaussian statistics and the overall mechanisms of ENSO are both captured by the model. Then the formation mechanisms of both the central Pacific (CP) and the traditional El Niño in the model are systematically studied. First, ocean Rossby waves induced by easterly trade wind anomalies facilitate the heat content buildup. Then the reflected ocean Kelvin waves and the nonlinear advection lead to positive SST anomalies in the CP region and create a CP El Niño. Second, two formation mechanisms are revealed for the traditional El Niño, including the super (extreme) El Niño. The first mechanism indicates a preferred wind structure with easterly wind bursts (EWBs) leading westerly wind bursts (WWBs), where the EWBs build up heat content and then the WWBs trigger the El Niño. The second mechanism links the two types of El Niño, where a CP El Niño favors a heat content buildup and the advent of a traditional El Niño. This article also highlights the mechanisms of La Niña formation and El Niño termination.
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      Observations and Mechanisms of a Simple Stochastic Dynamical Model Capturing El Niño Diversity

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    contributor authorChen, Nan
    contributor authorMajda, Andrew J.
    contributor authorThual, Sulian
    date accessioned2019-09-19T10:08:16Z
    date available2019-09-19T10:08:16Z
    date copyright11/2/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-16-0880.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261957
    description abstractAbstractEl Niño?Southern Oscillation (ENSO) has significant impact on global climate and relevance for seasonal forecasts. Recently, a simple modeling framework was developed that captures the ENSO diversity, where state-dependent stochastic wind bursts and nonlinear advection of sea surface temperature are coupled to a simple ocean?atmosphere model that is otherwise deterministic, linear, and stable. In this article, the coupled model is compared with observations using reanalysis data over the last 34 yr, where the observed non-Gaussian statistics and the overall mechanisms of ENSO are both captured by the model. Then the formation mechanisms of both the central Pacific (CP) and the traditional El Niño in the model are systematically studied. First, ocean Rossby waves induced by easterly trade wind anomalies facilitate the heat content buildup. Then the reflected ocean Kelvin waves and the nonlinear advection lead to positive SST anomalies in the CP region and create a CP El Niño. Second, two formation mechanisms are revealed for the traditional El Niño, including the super (extreme) El Niño. The first mechanism indicates a preferred wind structure with easterly wind bursts (EWBs) leading westerly wind bursts (WWBs), where the EWBs build up heat content and then the WWBs trigger the El Niño. The second mechanism links the two types of El Niño, where a CP El Niño favors a heat content buildup and the advent of a traditional El Niño. This article also highlights the mechanisms of La Niña formation and El Niño termination.
    publisherAmerican Meteorological Society
    titleObservations and Mechanisms of a Simple Stochastic Dynamical Model Capturing El Niño Diversity
    typeJournal Paper
    journal volume31
    journal issue1
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-16-0880.1
    journal fristpage449
    journal lastpage471
    treeJournal of Climate:;2017:;volume 031:;issue 001
    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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