Journal of the Waterways Harbors and Coastal Engineering Division · 1971 · 150 citations · 0 references
Natural SciencesMeteorologyStochastic ModelingStochastic ProcessesTropical MeteorologyNatural HazardsPoisson ProcessesTime Series ModelingTropical Cyclone ForecastingPeriodic LawPoisson DistributionPoisson Process ModelsPoisson Recurrence ModelProbabilistic Time Series ModelingProbability Density FunctionsProbability Generating FunctionsRecurrence Interval Estimation
This investigation treats indirect development of probability functions for hurricane effects for specified time intervals. Methods outlined here provide a way of obtaining magnitude-recurrence interval relationships for hurricane effects. Methods are suitable for sites where insufficient data does not permit getting effect magnitude-recurrence interval information directly from historic records. A stochastic model for hurricane occurrences around sites is developed; a periodic Poisson distribution best described hurricanes on the Texas Coast. Data imply that Texas hurricanes tend to follow a cyclic trend with a period of about 33 yr. A hurricane occurrence model is then combined with distribution for hurricane wind, given a hurricane occurrence. If hurricane occurrences follow a periodic Poisson law, then exceedances of given magnitudes of hurricane effects are also shown to obey a periodic Poisson law.