YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    •   YE&T Library
    • AMS
    • Weather and Forecasting
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A New Method for Estimating Tropical Cyclone Wind Speed Probabilities

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 006::page 1573
    Author:
    DeMaria, Mark
    ,
    Knaff, John A.
    ,
    Knabb, Richard
    ,
    Lauer, Chris
    ,
    Sampson, Charles R.
    ,
    DeMaria, Robert T.
    DOI: 10.1175/2009WAF2222286.1
    Publisher: American Meteorological Society
    Abstract: The National Hurricane Center (NHC) Hurricane Probability Program (HPP) was implemented in 1983 to estimate the probability that the center of a tropical cyclone would pass within 60 n mi of a set of specified points out to 72 h. Other than periodic updates of the probability distributions, the HPP remained unchanged through 2005. Beginning in 2006, the HPP products were replaced by those from a new program that estimates probabilities of winds of at least 34, 50, and 64 kt, and incorporates uncertainties in the track, intensity, and wind structure forecasts. This paper describes the new probability model and a verification of the operational forecasts from the 2006?07 seasons. The new probabilities extend to 120 h for all tropical cyclones in the Atlantic and eastern, central, and western North Pacific to 100°E. Because of the interdependence of the track, intensity, and structure forecasts, a Monte Carlo method is used to generate 1000 realizations by randomly sampling from the operational forecast center track and intensity forecast error distributions from the past 5 yr. The extents of the 34-, 50-, and 64-kt winds for the realizations are obtained from a simple wind radii model and its underlying error distributions. Verification results show that the new probability model is relatively unbiased and skillful as measured by the Brier skill score, where the skill baseline is the deterministic forecast from the operational centers converted to a binary probabilistic forecast. The model probabilities are also well calibrated and have high confidence based on reliability diagrams.
    • Download: (3.735Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A New Method for Estimating Tropical Cyclone Wind Speed Probabilities

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4211476
    Collections
    • Weather and Forecasting

    Show full item record

    contributor authorDeMaria, Mark
    contributor authorKnaff, John A.
    contributor authorKnabb, Richard
    contributor authorLauer, Chris
    contributor authorSampson, Charles R.
    contributor authorDeMaria, Robert T.
    date accessioned2017-06-09T16:32:52Z
    date available2017-06-09T16:32:52Z
    date copyright2009/12/01
    date issued2009
    identifier issn0882-8156
    identifier otherams-69771.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211476
    description abstractThe National Hurricane Center (NHC) Hurricane Probability Program (HPP) was implemented in 1983 to estimate the probability that the center of a tropical cyclone would pass within 60 n mi of a set of specified points out to 72 h. Other than periodic updates of the probability distributions, the HPP remained unchanged through 2005. Beginning in 2006, the HPP products were replaced by those from a new program that estimates probabilities of winds of at least 34, 50, and 64 kt, and incorporates uncertainties in the track, intensity, and wind structure forecasts. This paper describes the new probability model and a verification of the operational forecasts from the 2006?07 seasons. The new probabilities extend to 120 h for all tropical cyclones in the Atlantic and eastern, central, and western North Pacific to 100°E. Because of the interdependence of the track, intensity, and structure forecasts, a Monte Carlo method is used to generate 1000 realizations by randomly sampling from the operational forecast center track and intensity forecast error distributions from the past 5 yr. The extents of the 34-, 50-, and 64-kt winds for the realizations are obtained from a simple wind radii model and its underlying error distributions. Verification results show that the new probability model is relatively unbiased and skillful as measured by the Brier skill score, where the skill baseline is the deterministic forecast from the operational centers converted to a binary probabilistic forecast. The model probabilities are also well calibrated and have high confidence based on reliability diagrams.
    publisherAmerican Meteorological Society
    titleA New Method for Estimating Tropical Cyclone Wind Speed Probabilities
    typeJournal Paper
    journal volume24
    journal issue6
    journal titleWeather and Forecasting
    identifier doi10.1175/2009WAF2222286.1
    journal fristpage1573
    journal lastpage1591
    treeWeather and Forecasting:;2009:;volume( 024 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian