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    Predicting Atlantic Seasonal Hurricane Activity 6–11 Months in Advance

    Source: Weather and Forecasting:;1992:;volume( 007 ):;issue: 003::page 440
    Author:
    Gray, William M.
    ,
    Landsea, Christopher W.
    ,
    Mielke, Paul W.
    ,
    Berry, Kenneth J.
    DOI: 10.1175/1520-0434(1992)007<0440:PASHAM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A surprisingly strong long-range predictive signal exists for Atlantic-basin seasonal tropical cyclone activity. This predictive skill is related to two measures of West African rainfall in the prior year and to the phase of the stratospheric quasi-biennial oscillation of zonal winds at 30 mb and 50 mb, extrapolated ten months into the future. These predictors, both of which are available by 1 December, can be utilized to make skillful forecasts of Atlantic tropical cyclone activity in the following June-November season. Using jackknife methods to provide independent testing of datasets, it is found that these parameters can be used to forecast nearly half of the season-to-season variability for seven indices of Atlantic seasonal tropical cyclone activity as early as late November of the previous year.
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      Predicting Atlantic Seasonal Hurricane Activity 6–11 Months in Advance

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4163478
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    contributor authorGray, William M.
    contributor authorLandsea, Christopher W.
    contributor authorMielke, Paul W.
    contributor authorBerry, Kenneth J.
    date accessioned2017-06-09T14:46:44Z
    date available2017-06-09T14:46:44Z
    date copyright1992/09/01
    date issued1992
    identifier issn0882-8156
    identifier otherams-2657.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4163478
    description abstractA surprisingly strong long-range predictive signal exists for Atlantic-basin seasonal tropical cyclone activity. This predictive skill is related to two measures of West African rainfall in the prior year and to the phase of the stratospheric quasi-biennial oscillation of zonal winds at 30 mb and 50 mb, extrapolated ten months into the future. These predictors, both of which are available by 1 December, can be utilized to make skillful forecasts of Atlantic tropical cyclone activity in the following June-November season. Using jackknife methods to provide independent testing of datasets, it is found that these parameters can be used to forecast nearly half of the season-to-season variability for seven indices of Atlantic seasonal tropical cyclone activity as early as late November of the previous year.
    publisherAmerican Meteorological Society
    titlePredicting Atlantic Seasonal Hurricane Activity 6–11 Months in Advance
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1992)007<0440:PASHAM>2.0.CO;2
    journal fristpage440
    journal lastpage455
    treeWeather and Forecasting:;1992:;volume( 007 ):;issue: 003
    contenttypeFulltext
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