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    Sensitivity of Hurricane Intensity Forecast to Convective Momentum Transport Parameterization

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 002::page 664
    Author:
    Han, Jongil
    ,
    Pan, Hua-Lu
    DOI: 10.1175/MWR3090.1
    Publisher: American Meteorological Society
    Abstract: A parameterization of the convection-induced pressure gradient force (PGF) in convective momentum transport (CMT) is tested for hurricane intensity forecasting using NCEP's operational Global Forecast System (GFS) and its nested Regional Spectral Model (RSM). In the parameterization the PGF is assumed to be proportional to the product of the cloud mass flux and vertical wind shear. Compared to control forecasts using the present operational GFS and RSM where the PGF effect in CMT is taken into account empirically, the new PGF parameterization helps increase hurricane intensity by reducing the vertical momentum exchange, giving rise to a closer comparison to the observations. In addition, the new PGF parameterization forecasts not only show more realistically organized precipitation patterns with enhanced hurricane intensity but also reduce the forecast track error. Nevertheless, the model forecasts with the new PGF parameterization still largely underpredict the observed intensity. One of the many possible reasons for the large underprediction may be the absence of hurricane initialization in the models.
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      Sensitivity of Hurricane Intensity Forecast to Convective Momentum Transport Parameterization

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4229106
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    • Monthly Weather Review

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    contributor authorHan, Jongil
    contributor authorPan, Hua-Lu
    date accessioned2017-06-09T17:27:36Z
    date available2017-06-09T17:27:36Z
    date copyright2006/02/01
    date issued2006
    identifier issn0027-0644
    identifier otherams-85637.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229106
    description abstractA parameterization of the convection-induced pressure gradient force (PGF) in convective momentum transport (CMT) is tested for hurricane intensity forecasting using NCEP's operational Global Forecast System (GFS) and its nested Regional Spectral Model (RSM). In the parameterization the PGF is assumed to be proportional to the product of the cloud mass flux and vertical wind shear. Compared to control forecasts using the present operational GFS and RSM where the PGF effect in CMT is taken into account empirically, the new PGF parameterization helps increase hurricane intensity by reducing the vertical momentum exchange, giving rise to a closer comparison to the observations. In addition, the new PGF parameterization forecasts not only show more realistically organized precipitation patterns with enhanced hurricane intensity but also reduce the forecast track error. Nevertheless, the model forecasts with the new PGF parameterization still largely underpredict the observed intensity. One of the many possible reasons for the large underprediction may be the absence of hurricane initialization in the models.
    publisherAmerican Meteorological Society
    titleSensitivity of Hurricane Intensity Forecast to Convective Momentum Transport Parameterization
    typeJournal Paper
    journal volume134
    journal issue2
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR3090.1
    journal fristpage664
    journal lastpage674
    treeMonthly Weather Review:;2006:;volume( 134 ):;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
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