Probability Distributions for Hurricane Effects
Larry R. Russell
Abstract
Larry R. Russell
Abstract
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.
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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.
Key concepts: Poisson distribution, Meteorology, Magnitude (astronomy), Environmental science, Interval (graph theory), Poisson regression, Climatology, Statistics