Publication | Open Access
Effects of Moist Convection on Hurricane Predictability
122
Citations
38
References
2009
Year
ClimatologyMeteorologyInherent UncertaintiesProbabilistic ForecastingEngineeringStorm SurgeNumerical Weather PredictionGeographyWeather ForecastingClimate ForecastingHurricane PredictabilityForecastingSuch UncertaintiesEarth ScienceInitial Vortex
Abstract This study exemplifies inherent uncertainties in deterministic prediction of hurricane formation and intensity. Such uncertainties could ultimately limit the predictability of hurricanes at all time scales. In particular, this study highlights the predictability limit due to the effects on moist convection of initial-condition errors with amplitudes far smaller than those of any observation or analysis system. Not only can small and arguably unobservable differences in the initial conditions result in different routes to tropical cyclogenesis, but they can also determine whether or not a tropical disturbance will significantly develop. The details of how the initial vortex is built can depend on chaotic interactions of mesoscale features, such as cold pools from moist convection, whose timing and placement may significantly vary with minute initial differences. Inherent uncertainties in hurricane forecasts illustrate the need for developing advanced ensemble prediction systems to provide event-dependent probabilistic forecasts and risk assessment.
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