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    Multiconvective Parameterizations as a Multimodel Proxy for Seasonal Climate Studies

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 015::page 2963
    Author:
    LaRow, T. E.
    ,
    Cocke, S. D.
    ,
    Shin, D. W.
    DOI: 10.1175/JCLI3448.1
    Publisher: American Meteorological Society
    Abstract: A six-member multicoupled model ensemble is created by using six state-of-the-art deep atmospheric convective schemes. The six convective schemes are used inside a single model and make up the ensemble. This six-member ensemble is compared against a multianalysis ensemble, which is created by varying the initial start dates of the atmospheric component of the coupled model. Both ensembles were integrated for seven months (November?May) over a 12-yr period from 1987 to 1998. Examination of the sea surface temperature and precipitation show that while deterministic skill scores are slightly better for the multicoupled model ensemble the probabilistic skill scores favor the multimodel approach. Combining the two ensembles to create a larger ensemble size increases the probabilistic skill score compared to the multimodel. This altering physics approach to create a multimodel ensemble is seen as an easy way for small modeling centers to generate ensembles with better reliability than by only varying the initial conditions.
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      Multiconvective Parameterizations as a Multimodel Proxy for Seasonal Climate Studies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4220538
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    contributor authorLaRow, T. E.
    contributor authorCocke, S. D.
    contributor authorShin, D. W.
    date accessioned2017-06-09T17:00:50Z
    date available2017-06-09T17:00:50Z
    date copyright2005/08/01
    date issued2005
    identifier issn0894-8755
    identifier otherams-77926.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4220538
    description abstractA six-member multicoupled model ensemble is created by using six state-of-the-art deep atmospheric convective schemes. The six convective schemes are used inside a single model and make up the ensemble. This six-member ensemble is compared against a multianalysis ensemble, which is created by varying the initial start dates of the atmospheric component of the coupled model. Both ensembles were integrated for seven months (November?May) over a 12-yr period from 1987 to 1998. Examination of the sea surface temperature and precipitation show that while deterministic skill scores are slightly better for the multicoupled model ensemble the probabilistic skill scores favor the multimodel approach. Combining the two ensembles to create a larger ensemble size increases the probabilistic skill score compared to the multimodel. This altering physics approach to create a multimodel ensemble is seen as an easy way for small modeling centers to generate ensembles with better reliability than by only varying the initial conditions.
    publisherAmerican Meteorological Society
    titleMulticonvective Parameterizations as a Multimodel Proxy for Seasonal Climate Studies
    typeJournal Paper
    journal volume18
    journal issue15
    journal titleJournal of Climate
    identifier doi10.1175/JCLI3448.1
    journal fristpage2963
    journal lastpage2978
    treeJournal of Climate:;2005:;volume( 018 ):;issue: 015
    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