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    Predicting Atlantic Basin Seasonal Tropical Cyclone Activity by 1 August

    Source: Weather and Forecasting:;1993:;volume( 008 ):;issue: 001::page 73
    Author:
    Gray, William M.
    ,
    Landsea, Christopher W.
    ,
    Mielke, Paul W.
    ,
    Berry, Kenneth J.
    DOI: 10.1175/1520-0434(1993)008<0073:PABSTC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: More than 90% of all seasonal Atlantic tropical cyclone activity typically occurs after 1 August. A strong predictive potential exists that allows seasonal forecasts of Atlantic basin tropical cyclone activity to be issued by 1 August, prior to the start of the active portion of the hurricane season. Predictors include June-July meteorological information of the stratospheric quasi-biennial oscillation (QBO), West African rainfall, the El Niño-Southern Oscillation (ENSO) as well as sea level pressure anomalies (SLPA), and the upper-tropospheric zonal-wind anomalies (ZWA) in the Caribbean basin. Use of a combination of these global and regional predictors provides a basis for making cross-validated (jackknifed) 1 August hindcasts of subsequent Atlantic seasonal tropical cyclone activity that show substantial skill over climatology. This relationship is demonstrated in 41 years of hindcasts of the 1950-90 seasons. It is possible to independently explain more than 60% of the year-to-year variability associated with intense (category 3?4?5) hurricane activity. This is significant because over 70% of all United States tropical cyclone damage comes from intense hurricanes, and over 98% of intense hurricane activity occurs after 1 August. Empirical evidence suggests that least sum of absolute deviations (LAD) regression yields substantially more improved cross-validated results than an analogous procedure based on ordinary least sum of squared deviations (OLS) regression. This improvement surprisingly occurs even with the squared Pearson product-moment correlation coefficient for which one might anticipate OLS regression to yield better cross-validated results than LAD regression.
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      Predicting Atlantic Basin Seasonal Tropical Cyclone Activity by 1 August

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4163756
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    contributor authorGray, William M.
    contributor authorLandsea, Christopher W.
    contributor authorMielke, Paul W.
    contributor authorBerry, Kenneth J.
    date accessioned2017-06-09T14:47:23Z
    date available2017-06-09T14:47:23Z
    date copyright1993/03/01
    date issued1993
    identifier issn0882-8156
    identifier otherams-2682.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4163756
    description abstractMore than 90% of all seasonal Atlantic tropical cyclone activity typically occurs after 1 August. A strong predictive potential exists that allows seasonal forecasts of Atlantic basin tropical cyclone activity to be issued by 1 August, prior to the start of the active portion of the hurricane season. Predictors include June-July meteorological information of the stratospheric quasi-biennial oscillation (QBO), West African rainfall, the El Niño-Southern Oscillation (ENSO) as well as sea level pressure anomalies (SLPA), and the upper-tropospheric zonal-wind anomalies (ZWA) in the Caribbean basin. Use of a combination of these global and regional predictors provides a basis for making cross-validated (jackknifed) 1 August hindcasts of subsequent Atlantic seasonal tropical cyclone activity that show substantial skill over climatology. This relationship is demonstrated in 41 years of hindcasts of the 1950-90 seasons. It is possible to independently explain more than 60% of the year-to-year variability associated with intense (category 3?4?5) hurricane activity. This is significant because over 70% of all United States tropical cyclone damage comes from intense hurricanes, and over 98% of intense hurricane activity occurs after 1 August. Empirical evidence suggests that least sum of absolute deviations (LAD) regression yields substantially more improved cross-validated results than an analogous procedure based on ordinary least sum of squared deviations (OLS) regression. This improvement surprisingly occurs even with the squared Pearson product-moment correlation coefficient for which one might anticipate OLS regression to yield better cross-validated results than LAD regression.
    publisherAmerican Meteorological Society
    titlePredicting Atlantic Basin Seasonal Tropical Cyclone Activity by 1 August
    typeJournal Paper
    journal volume8
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1993)008<0073:PABSTC>2.0.CO;2
    journal fristpage73
    journal lastpage86
    treeWeather and Forecasting:;1993:;volume( 008 ):;issue: 001
    contenttypeFulltext
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