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    Statistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence: Updates for the Western North Pacific

    Source: Weather and Forecasting:;2018:;volume 033:;issue 004::page 1093
    Author:
    Knaff, John A.
    ,
    Sampson, Charles R.
    ,
    Musgrave, Kate D.
    DOI: 10.1175/WAF-D-18-0027.1
    Publisher: American Meteorological Society
    Abstract: AbstractThis note describes an updated tropical cyclone vortex climatology for the western North Pacific version of the operational wind radii climatology and persistence (i.e., CLIPER) model. The update addresses known shortcomings of the existing formulation, namely, that the wind radii used to develop the original model were too small and symmetric. The underlying formulation of the CLIPER model has not changed, but the larger and more realistic vortex climatology produces improved forecast biases. Other applications that make use of the vortex climatology and CLIPER model forecasts should also benefit from the bias improvements.
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      Statistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence: Updates for the Western North Pacific

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4261424
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    contributor authorKnaff, John A.
    contributor authorSampson, Charles R.
    contributor authorMusgrave, Kate D.
    date accessioned2019-09-19T10:05:31Z
    date available2019-09-19T10:05:31Z
    date copyright7/2/2018 12:00:00 AM
    date issued2018
    identifier otherwaf-d-18-0027.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261424
    description abstractAbstractThis note describes an updated tropical cyclone vortex climatology for the western North Pacific version of the operational wind radii climatology and persistence (i.e., CLIPER) model. The update addresses known shortcomings of the existing formulation, namely, that the wind radii used to develop the original model were too small and symmetric. The underlying formulation of the CLIPER model has not changed, but the larger and more realistic vortex climatology produces improved forecast biases. Other applications that make use of the vortex climatology and CLIPER model forecasts should also benefit from the bias improvements.
    publisherAmerican Meteorological Society
    titleStatistical Tropical Cyclone Wind Radii Prediction Using Climatology and Persistence: Updates for the Western North Pacific
    typeJournal Paper
    journal volume33
    journal issue4
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-18-0027.1
    journal fristpage1093
    journal lastpage1098
    treeWeather and Forecasting:;2018:;volume 033:;issue 004
    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