Publication | Open Access
Predicting Atlantic Seasonal Hurricane Activity 6–11 Months in Advance
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1992
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HydrometeorologyMeteorologyClimatologyStorm SurgeWest African RainfallEngineeringMarine MeteorologyStorm DynamicsAtmospheric ScienceNumerical Weather PredictionJackknife MethodsWeather ForecastingClimate ForecastingLate NovemberForecastingStatisticsEarth ScienceClimate Dynamics
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.