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    NOAA's Future Ensemble-Based Hurricane Forecast Products

    Source: Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 002::page 209
    Author:
    Hamill, Thomas M.
    ,
    Brennan, Michael J.
    ,
    Brown, Barbara
    ,
    DeMaria, Mark
    ,
    Rappaport, Edward N.
    ,
    Toth, Zoltan
    DOI: 10.1175/2011BAMS3106.1
    Publisher: American Meteorological Society
    Abstract: ty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction. A supplement to this article is available online (10.1175/2011BAMS3106.2)
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      NOAA's Future Ensemble-Based Hurricane Forecast Products

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4213479
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    contributor authorHamill, Thomas M.
    contributor authorBrennan, Michael J.
    contributor authorBrown, Barbara
    contributor authorDeMaria, Mark
    contributor authorRappaport, Edward N.
    contributor authorToth, Zoltan
    date accessioned2017-06-09T16:39:01Z
    date available2017-06-09T16:39:01Z
    date copyright2012/02/01
    date issued2012
    identifier issn0003-0007
    identifier otherams-71572.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4213479
    description abstractty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction. A supplement to this article is available online (10.1175/2011BAMS3106.2)
    publisherAmerican Meteorological Society
    titleNOAA's Future Ensemble-Based Hurricane Forecast Products
    typeJournal Paper
    journal volume93
    journal issue2
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/2011BAMS3106.1
    journal fristpage209
    journal lastpage220
    treeBulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 002
    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
    yabeshDSpacePersian