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    Weighted Analog Technique for Intensity and Intensity Spread Predictions of Atlantic Tropical Cyclones

    Source: Weather and Forecasting:;2015:;volume( 030 ):;issue: 005::page 1321
    Author:
    Tsai, Hsiao-Chung
    ,
    Elsberry, Russell L.
    DOI: 10.1175/WAF-D-15-0030.1
    Publisher: American Meteorological Society
    Abstract: situation-dependent intensity and intensity spread prediction technique for the Atlantic called the Weighted Analog Intensity Atlantic (WAIA) is developed using the same procedures as for a similar technique for the western North Pacific that is operational at the Joint Typhoon Warning Center. These simple techniques are based on rankings of the 10 best historical track analogs to match the official track forecast and current intensity. A key step is the development of a bias correction to eliminate an overforecast bias. The second key step is a calibration of the original intensity spread among the 10 analogs to achieve a probability of detection of about 68% at all forecast intervals, which it is proposed would be an appropriate intensity spread for the National Hurricane Center (NHC) official intensity forecasts. The advantages of WAIA as an operational intensity forecast product for Atlantic tropical cyclones are described in terms of mean absolute errors, sample-mean biases, and geographic distributions of WAIA versus various guidance products available at NHC. Specific attention is given to the four guidance products that are included in the intensity consensus (ICON) technique that is the most skillful of all the products. Evidence is given that WAIA would be an independent, and more likely skillful at longer forecast intervals, technique to include in ICON. Consequently, WAIA would likely lead to improved NHC intensity forecasts at 4?5-day intervals.
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      Weighted Analog Technique for Intensity and Intensity Spread Predictions of Atlantic Tropical Cyclones

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    contributor authorTsai, Hsiao-Chung
    contributor authorElsberry, Russell L.
    date accessioned2017-06-09T17:36:59Z
    date available2017-06-09T17:36:59Z
    date copyright2015/10/01
    date issued2015
    identifier issn0882-8156
    identifier otherams-88123.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231869
    description abstractsituation-dependent intensity and intensity spread prediction technique for the Atlantic called the Weighted Analog Intensity Atlantic (WAIA) is developed using the same procedures as for a similar technique for the western North Pacific that is operational at the Joint Typhoon Warning Center. These simple techniques are based on rankings of the 10 best historical track analogs to match the official track forecast and current intensity. A key step is the development of a bias correction to eliminate an overforecast bias. The second key step is a calibration of the original intensity spread among the 10 analogs to achieve a probability of detection of about 68% at all forecast intervals, which it is proposed would be an appropriate intensity spread for the National Hurricane Center (NHC) official intensity forecasts. The advantages of WAIA as an operational intensity forecast product for Atlantic tropical cyclones are described in terms of mean absolute errors, sample-mean biases, and geographic distributions of WAIA versus various guidance products available at NHC. Specific attention is given to the four guidance products that are included in the intensity consensus (ICON) technique that is the most skillful of all the products. Evidence is given that WAIA would be an independent, and more likely skillful at longer forecast intervals, technique to include in ICON. Consequently, WAIA would likely lead to improved NHC intensity forecasts at 4?5-day intervals.
    publisherAmerican Meteorological Society
    titleWeighted Analog Technique for Intensity and Intensity Spread Predictions of Atlantic Tropical Cyclones
    typeJournal Paper
    journal volume30
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-15-0030.1
    journal fristpage1321
    journal lastpage1333
    treeWeather and Forecasting:;2015:;volume( 030 ):;issue: 005
    contenttypeFulltext
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