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    Cloud and Precipitation Parameterization in a Meso-Gamma-Scale Operational Weather Prediction Model

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 011::page 3960
    Author:
    Gerard, Luc
    ,
    Piriou, Jean-Marcel
    ,
    Brožková, Radmila
    ,
    Geleyn, Jean-François
    ,
    Banciu, Doina
    DOI: 10.1175/2009MWR2750.1
    Publisher: American Meteorological Society
    Abstract: The paper assesses the difficulties of running an operational NWP model in the resolution range of 3?8 km. In this case, deep convection cells are neither much smaller than the grid box as assumed by most parameterization schemes, nor completely resolved as would be required for them to be treated explicitly. A specific approach is proposed, with an integrated sequential treatment of resolved condensation, deep convection, and microphysics together with the use of prognostic variables. It currently allows for the production of consistent and realistic results at resolutions ranging from a few tens of kilometers down to less than 4 km. Model skill scores and an example of an operational forecast at different resolutions are presented.
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      Cloud and Precipitation Parameterization in a Meso-Gamma-Scale Operational Weather Prediction Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4211141
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    • Monthly Weather Review

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    contributor authorGerard, Luc
    contributor authorPiriou, Jean-Marcel
    contributor authorBrožková, Radmila
    contributor authorGeleyn, Jean-François
    contributor authorBanciu, Doina
    date accessioned2017-06-09T16:31:46Z
    date available2017-06-09T16:31:46Z
    date copyright2009/11/01
    date issued2009
    identifier issn0027-0644
    identifier otherams-69469.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211141
    description abstractThe paper assesses the difficulties of running an operational NWP model in the resolution range of 3?8 km. In this case, deep convection cells are neither much smaller than the grid box as assumed by most parameterization schemes, nor completely resolved as would be required for them to be treated explicitly. A specific approach is proposed, with an integrated sequential treatment of resolved condensation, deep convection, and microphysics together with the use of prognostic variables. It currently allows for the production of consistent and realistic results at resolutions ranging from a few tens of kilometers down to less than 4 km. Model skill scores and an example of an operational forecast at different resolutions are presented.
    publisherAmerican Meteorological Society
    titleCloud and Precipitation Parameterization in a Meso-Gamma-Scale Operational Weather Prediction Model
    typeJournal Paper
    journal volume137
    journal issue11
    journal titleMonthly Weather Review
    identifier doi10.1175/2009MWR2750.1
    journal fristpage3960
    journal lastpage3977
    treeMonthly Weather Review:;2009:;volume( 137 ):;issue: 011
    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