1971•Journal of the Waterways Harbors and Coastal Engineering DivisionRequires access

Probability Distributions for Hurricane Effects

Larry R. Russell

Open publisher page 153 citations

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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What this paper is about

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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Available 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.

Key concepts: Poisson distribution, Meteorology, Magnitude (astronomy), Environmental science, Interval (graph theory), Poisson regression, Climatology, Statistics

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