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    DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER)

    Source: Bulletin of the American Meteorological Society:;2004:;volume( 085 ):;issue: 006::page 853
    Author:
    Palmer, T. N.
    ,
    Doblas-Reyes, F. J.
    ,
    Hagedorn, R.
    ,
    Alessandri, A.
    ,
    Gualdi, S.
    ,
    Andersen, U.
    ,
    Feddersen, H.
    ,
    Cantelaube, P.
    ,
    Terres, J-M.
    ,
    Davey, M.
    ,
    Graham, R.
    ,
    Délécluse, P.
    ,
    Lazar, A.
    ,
    Déqué,, M.
    ,
    Guérémy, J-F.
    ,
    Díez, E.
    ,
    Orfila, B.
    ,
    Hoshen, M.
    ,
    Morse, A. P.
    ,
    Keenlyside, N.
    ,
    Latif, M.
    ,
    Maisonnave, E.
    ,
    Rogel, P.
    ,
    Marletto, V.
    ,
    Thomson, M. C.
    DOI: 10.1175/BAMS-85-6-853
    Publisher: American Meteorological Society
    Abstract: A multi-model ensemble-based system for seasonal-to-interannual prediction has been developed in a joint European project known as DEMETER (Development of a European Multimodel Ensemble Prediction System for Seasonal to Interannual Prediction). The DEMETER system comprises seven global atmosphere?ocean coupled models, each running from an ensemble of initial conditions. Comprehensive hindcast evaluation demonstrates the enhanced reliability and skill of the multimodel ensemble over a more conventional single-model ensemble approach. In addition, innovative examples of the application of seasonal ensemble forecasts in malaria and crop yield prediction are discussed. The strategy followed in DEMETER deals with important problems such as communication across disciplines, downscaling of climate simulations, and use of probabilistic forecast information in the applications sector, illustrating the economic value of seasonal-to-interannual prediction for society as a whole.
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      DEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER)

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4214747
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    • Bulletin of the American Meteorological Society

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    contributor authorPalmer, T. N.
    contributor authorDoblas-Reyes, F. J.
    contributor authorHagedorn, R.
    contributor authorAlessandri, A.
    contributor authorGualdi, S.
    contributor authorAndersen, U.
    contributor authorFeddersen, H.
    contributor authorCantelaube, P.
    contributor authorTerres, J-M.
    contributor authorDavey, M.
    contributor authorGraham, R.
    contributor authorDélécluse, P.
    contributor authorLazar, A.
    contributor authorDéqué,, M.
    contributor authorGuérémy, J-F.
    contributor authorDíez, E.
    contributor authorOrfila, B.
    contributor authorHoshen, M.
    contributor authorMorse, A. P.
    contributor authorKeenlyside, N.
    contributor authorLatif, M.
    contributor authorMaisonnave, E.
    contributor authorRogel, P.
    contributor authorMarletto, V.
    contributor authorThomson, M. C.
    date accessioned2017-06-09T16:42:35Z
    date available2017-06-09T16:42:35Z
    date copyright2004/06/01
    date issued2004
    identifier issn0003-0007
    identifier otherams-72713.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214747
    description abstractA multi-model ensemble-based system for seasonal-to-interannual prediction has been developed in a joint European project known as DEMETER (Development of a European Multimodel Ensemble Prediction System for Seasonal to Interannual Prediction). The DEMETER system comprises seven global atmosphere?ocean coupled models, each running from an ensemble of initial conditions. Comprehensive hindcast evaluation demonstrates the enhanced reliability and skill of the multimodel ensemble over a more conventional single-model ensemble approach. In addition, innovative examples of the application of seasonal ensemble forecasts in malaria and crop yield prediction are discussed. The strategy followed in DEMETER deals with important problems such as communication across disciplines, downscaling of climate simulations, and use of probabilistic forecast information in the applications sector, illustrating the economic value of seasonal-to-interannual prediction for society as a whole.
    publisherAmerican Meteorological Society
    titleDEVELOPMENT OF A EUROPEAN MULTIMODEL ENSEMBLE SYSTEM FOR SEASONAL-TO-INTERANNUAL PREDICTION (DEMETER)
    typeJournal Paper
    journal volume85
    journal issue6
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-85-6-853
    journal fristpage853
    journal lastpage872
    treeBulletin of the American Meteorological Society:;2004:;volume( 085 ):;issue: 006
    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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