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    An Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Models

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 003::page 744
    Author:
    Trahan, Sam
    ,
    Sparling, Lynn
    DOI: 10.1175/WAF-D-11-00063.1
    Publisher: American Meteorological Society
    Abstract: his study analyzes the Tropical Cyclone Vitals Database (TCVitals), which contains cyclone location, intensity, and structure information, generated in real time by forecasters. These data are used to initialize cyclones in several NCEP operational forecasting models via bogusing and vortex relocation methods. In many situations, time is of the essence and the TCVitals database represents the best real-time estimate of the cyclone state possible in real time, given the limitations of available data and time constraints inherent in real-time forecasting. NCEP and other users of TCVitals have a responsibility to work around the inevitable limitations of what forecasters can do for TCVitals in real time. With ensemble systems becoming available, a way to do that will soon be available. However, the TCVitals? limitations must first be quantitatively understood so that model developers can take them into account. That is the motivation for the present study, which compares the TCVitals storm location and intensity to postseason reanalysis values found in the best-track database and statistically compares the TCVitals storm depth to 946 Tropical Rainfall Measuring Mission (TRMM) overpasses. All storms of tropical depression strength or stronger in all basins are analyzed, with a special focus on National Hurricane Center TCVitals for the North Atlantic and eastern Pacific basins, the main areas of responsibility for NCEP. In addition, the sensitivity to TCVitals on the Hurricane Weather Research and Forecasting (HWRF) model is examined by rerunning the 2011 HWRF for the 2010 North Atlantic season twice: once with TCVitals input and once with best-track input.
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      An Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Models

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    contributor authorTrahan, Sam
    contributor authorSparling, Lynn
    date accessioned2017-06-09T17:35:38Z
    date available2017-06-09T17:35:38Z
    date copyright2012/06/01
    date issued2012
    identifier issn0882-8156
    identifier otherams-87773.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231479
    description abstracthis study analyzes the Tropical Cyclone Vitals Database (TCVitals), which contains cyclone location, intensity, and structure information, generated in real time by forecasters. These data are used to initialize cyclones in several NCEP operational forecasting models via bogusing and vortex relocation methods. In many situations, time is of the essence and the TCVitals database represents the best real-time estimate of the cyclone state possible in real time, given the limitations of available data and time constraints inherent in real-time forecasting. NCEP and other users of TCVitals have a responsibility to work around the inevitable limitations of what forecasters can do for TCVitals in real time. With ensemble systems becoming available, a way to do that will soon be available. However, the TCVitals? limitations must first be quantitatively understood so that model developers can take them into account. That is the motivation for the present study, which compares the TCVitals storm location and intensity to postseason reanalysis values found in the best-track database and statistically compares the TCVitals storm depth to 946 Tropical Rainfall Measuring Mission (TRMM) overpasses. All storms of tropical depression strength or stronger in all basins are analyzed, with a special focus on National Hurricane Center TCVitals for the North Atlantic and eastern Pacific basins, the main areas of responsibility for NCEP. In addition, the sensitivity to TCVitals on the Hurricane Weather Research and Forecasting (HWRF) model is examined by rerunning the 2011 HWRF for the 2010 North Atlantic season twice: once with TCVitals input and once with best-track input.
    publisherAmerican Meteorological Society
    titleAn Analysis of NCEP Tropical Cyclone Vitals and Potential Effects on Forecasting Models
    typeJournal Paper
    journal volume27
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-11-00063.1
    journal fristpage744
    journal lastpage756
    treeWeather and Forecasting:;2012:;volume( 027 ):;issue: 003
    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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