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    Prediction of Landfalling Hurricanes with the Advanced Hurricane WRF Model

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 006::page 1990
    Author:
    Davis, Christopher
    ,
    Wang, Wei
    ,
    Chen, Shuyi S.
    ,
    Chen, Yongsheng
    ,
    Corbosiero, Kristen
    ,
    DeMaria, Mark
    ,
    Dudhia, Jimy
    ,
    Holland, Greg
    ,
    Klemp, Joe
    ,
    Michalakes, John
    ,
    Reeves, Heather
    ,
    Rotunno, Richard
    ,
    Snyder, Chris
    ,
    Xiao, Qingnong
    DOI: 10.1175/2007MWR2085.1
    Publisher: American Meteorological Society
    Abstract: Real-time forecasts of five landfalling Atlantic hurricanes during 2005 using the Advanced Research Weather Research and Forecasting (WRF) (ARW) Model at grid spacings of 12 and 4 km revealed performance generally competitive with, and occasionally superior to, other operational forecasts for storm position and intensity. Recurring errors include 1) excessive intensification prior to landfall, 2) insufficient momentum exchange with the surface, and 3) inability to capture rapid intensification when observed. To address these errors several augmentations of the basic community model have been designed and tested as part of what is termed the Advanced Hurricane WRF (AHW) model. Based on sensitivity simulations of Katrina, the inner-core structure, particularly the size of the eye, was found to be sensitive to model resolution and surface momentum exchange. The forecast of rapid intensification and the structure of convective bands in Katrina were not significantly improved until the grid spacing approached 1 km. Coupling the atmospheric model to a columnar, mixed layer ocean model eliminated much of the erroneous intensification of Katrina prior to landfall noted in the real-time forecast.
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      Prediction of Landfalling Hurricanes with the Advanced Hurricane WRF Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4207576
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    contributor authorDavis, Christopher
    contributor authorWang, Wei
    contributor authorChen, Shuyi S.
    contributor authorChen, Yongsheng
    contributor authorCorbosiero, Kristen
    contributor authorDeMaria, Mark
    contributor authorDudhia, Jimy
    contributor authorHolland, Greg
    contributor authorKlemp, Joe
    contributor authorMichalakes, John
    contributor authorReeves, Heather
    contributor authorRotunno, Richard
    contributor authorSnyder, Chris
    contributor authorXiao, Qingnong
    date accessioned2017-06-09T16:21:02Z
    date available2017-06-09T16:21:02Z
    date copyright2008/06/01
    date issued2008
    identifier issn0027-0644
    identifier otherams-66260.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207576
    description abstractReal-time forecasts of five landfalling Atlantic hurricanes during 2005 using the Advanced Research Weather Research and Forecasting (WRF) (ARW) Model at grid spacings of 12 and 4 km revealed performance generally competitive with, and occasionally superior to, other operational forecasts for storm position and intensity. Recurring errors include 1) excessive intensification prior to landfall, 2) insufficient momentum exchange with the surface, and 3) inability to capture rapid intensification when observed. To address these errors several augmentations of the basic community model have been designed and tested as part of what is termed the Advanced Hurricane WRF (AHW) model. Based on sensitivity simulations of Katrina, the inner-core structure, particularly the size of the eye, was found to be sensitive to model resolution and surface momentum exchange. The forecast of rapid intensification and the structure of convective bands in Katrina were not significantly improved until the grid spacing approached 1 km. Coupling the atmospheric model to a columnar, mixed layer ocean model eliminated much of the erroneous intensification of Katrina prior to landfall noted in the real-time forecast.
    publisherAmerican Meteorological Society
    titlePrediction of Landfalling Hurricanes with the Advanced Hurricane WRF Model
    typeJournal Paper
    journal volume136
    journal issue6
    journal titleMonthly Weather Review
    identifier doi10.1175/2007MWR2085.1
    journal fristpage1990
    journal lastpage2005
    treeMonthly Weather Review:;2008:;volume( 136 ):;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
    yabeshDSpacePersian