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    Operational Evaluation of a Selective Consensus in the Western North Pacific Basin

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 003::page 671
    Author:
    Sampson, Charles R.
    ,
    Knaff, John A.
    ,
    Fukada, Edward M.
    DOI: 10.1175/WAF991.1
    Publisher: American Meteorological Society
    Abstract: The Systematic Approach Forecast Aid (SAFA) has been in use at the Joint Typhoon Warning Center since the 2000 western North Pacific season. SAFA is a system designed for determination of erroneous 72-h track forecasts through identification of predefined error mechanisms associated with numerical weather prediction models. A metric for the process is a selective consensus in which model guidance suspected to have 72-h error greater than 300 n mi (1 n mi = 1.85 km) is first eliminated prior to calculating the average of the remaining model tracks. The resultant selective consensus should then provide improved forecasts over the nonselective consensus. In the 5 yr since its introduction into JTWC operations, forecasters have been unable to produce a selective consensus that provides consistent improved guidance over the nonselective consensus. Also, the rate at which forecasters exercised the selective consensus option dropped from approximately 45% of all forecasts in 2000 to 3% in 2004.
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      Operational Evaluation of a Selective Consensus in the Western North Pacific Basin

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4231374
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    • Weather and Forecasting

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    contributor authorSampson, Charles R.
    contributor authorKnaff, John A.
    contributor authorFukada, Edward M.
    date accessioned2017-06-09T17:35:20Z
    date available2017-06-09T17:35:20Z
    date copyright2007/06/01
    date issued2007
    identifier issn0882-8156
    identifier otherams-87679.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231374
    description abstractThe Systematic Approach Forecast Aid (SAFA) has been in use at the Joint Typhoon Warning Center since the 2000 western North Pacific season. SAFA is a system designed for determination of erroneous 72-h track forecasts through identification of predefined error mechanisms associated with numerical weather prediction models. A metric for the process is a selective consensus in which model guidance suspected to have 72-h error greater than 300 n mi (1 n mi = 1.85 km) is first eliminated prior to calculating the average of the remaining model tracks. The resultant selective consensus should then provide improved forecasts over the nonselective consensus. In the 5 yr since its introduction into JTWC operations, forecasters have been unable to produce a selective consensus that provides consistent improved guidance over the nonselective consensus. Also, the rate at which forecasters exercised the selective consensus option dropped from approximately 45% of all forecasts in 2000 to 3% in 2004.
    publisherAmerican Meteorological Society
    titleOperational Evaluation of a Selective Consensus in the Western North Pacific Basin
    typeJournal Paper
    journal volume22
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF991.1
    journal fristpage671
    journal lastpage675
    treeWeather and Forecasting:;2007:;volume( 022 ):;issue: 003
    contenttypeFulltext
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