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    Predictions of Indian Ocean SST Indices with a Simple Statistical Model: A Null Hypothesis

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 018::page 4930
    Author:
    Dommenget, Dietmar
    ,
    Jansen, Malte
    DOI: 10.1175/2009JCLI2846.1
    Publisher: American Meteorological Society
    Abstract: Several recent general circulation model studies discuss the predictability of the Indian Ocean dipole (IOD) mode, suggesting that it is predictable because of coupled ocean?atmosphere interactions in the Indian Ocean. However, it is not clear from these studies how much of the predictability is due to the response to El Niño. It is shown in this note that a simple statistical model that treats the Indian Ocean as a red noise process forced by tropical Pacific SST shows forecast skills comparable to those of recent general circulation model studies. The results also indicate that some of the eastern tropical Indian Ocean SST predictability in recent studies may indeed be beyond the skill of the simple model proposed in this note, indicating that dynamics in the Indian Ocean may have caused this improved predictability in this region. The model further indicates that the IOD index may be the least predictable index of Indian Ocean SST variability. The model is proposed as a null hypothesis for Indian Ocean SST predictions.
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      Predictions of Indian Ocean SST Indices with a Simple Statistical Model: A Null Hypothesis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4210353
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    contributor authorDommenget, Dietmar
    contributor authorJansen, Malte
    date accessioned2017-06-09T16:29:17Z
    date available2017-06-09T16:29:17Z
    date copyright2009/09/01
    date issued2009
    identifier issn0894-8755
    identifier otherams-68760.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210353
    description abstractSeveral recent general circulation model studies discuss the predictability of the Indian Ocean dipole (IOD) mode, suggesting that it is predictable because of coupled ocean?atmosphere interactions in the Indian Ocean. However, it is not clear from these studies how much of the predictability is due to the response to El Niño. It is shown in this note that a simple statistical model that treats the Indian Ocean as a red noise process forced by tropical Pacific SST shows forecast skills comparable to those of recent general circulation model studies. The results also indicate that some of the eastern tropical Indian Ocean SST predictability in recent studies may indeed be beyond the skill of the simple model proposed in this note, indicating that dynamics in the Indian Ocean may have caused this improved predictability in this region. The model further indicates that the IOD index may be the least predictable index of Indian Ocean SST variability. The model is proposed as a null hypothesis for Indian Ocean SST predictions.
    publisherAmerican Meteorological Society
    titlePredictions of Indian Ocean SST Indices with a Simple Statistical Model: A Null Hypothesis
    typeJournal Paper
    journal volume22
    journal issue18
    journal titleJournal of Climate
    identifier doi10.1175/2009JCLI2846.1
    journal fristpage4930
    journal lastpage4938
    treeJournal of Climate:;2009:;volume( 022 ):;issue: 018
    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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