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    Dynamical Extended-Range Prediction of Early Monsoon Rainfall over India

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 004::page 1480
    Author:
    Vitart, Frédéric
    ,
    Molteni, Franco
    DOI: 10.1175/2008MWR2761.1
    Publisher: American Meteorological Society
    Abstract: The 15-member ensembles of 46-day dynamical forecasts starting on each 15 May from 1991 to 2007 have been produced, using the ECMWF Variable Resolution Ensemble Prediction System monthly forecasting system (VarEPS-monthy). The dynamical model simulates a realistic interannual variability of Indian precipitation averaged over the month of June. It also displays some skill to predict Indian precipitation averaged over pentads up to a lead time of about 30 days. This skill exceeds the skill of the ECMWF seasonal forecasting System 3 starting on 1 June. Sensitivity experiments indicate that this is likely due to the higher horizontal resolution of VarEPS-monthly. Another series of sensitivity experiments suggests that the ocean?atmosphere coupling has an important impact on the skill of the monthly forecasting system to predict June rainfall over India.
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      Dynamical Extended-Range Prediction of Early Monsoon Rainfall over India

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4209520
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    contributor authorVitart, Frédéric
    contributor authorMolteni, Franco
    date accessioned2017-06-09T16:26:49Z
    date available2017-06-09T16:26:49Z
    date copyright2009/04/01
    date issued2009
    identifier issn0027-0644
    identifier otherams-68009.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209520
    description abstractThe 15-member ensembles of 46-day dynamical forecasts starting on each 15 May from 1991 to 2007 have been produced, using the ECMWF Variable Resolution Ensemble Prediction System monthly forecasting system (VarEPS-monthy). The dynamical model simulates a realistic interannual variability of Indian precipitation averaged over the month of June. It also displays some skill to predict Indian precipitation averaged over pentads up to a lead time of about 30 days. This skill exceeds the skill of the ECMWF seasonal forecasting System 3 starting on 1 June. Sensitivity experiments indicate that this is likely due to the higher horizontal resolution of VarEPS-monthly. Another series of sensitivity experiments suggests that the ocean?atmosphere coupling has an important impact on the skill of the monthly forecasting system to predict June rainfall over India.
    publisherAmerican Meteorological Society
    titleDynamical Extended-Range Prediction of Early Monsoon Rainfall over India
    typeJournal Paper
    journal volume137
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/2008MWR2761.1
    journal fristpage1480
    journal lastpage1492
    treeMonthly Weather Review:;2009:;volume( 137 ):;issue: 004
    contenttypeFulltext
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