Probability Distributions for Thunderstorm Activity at Cape Kennedy, Florida

Lee W. Falls Marshall Space Flight Center, NASA, Alabama

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William O. Williford University of Georgia, Athens

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Michael C. Carter University of Georgia, Athens

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Abstract

Several statistical distribution functions are investigated as prospective models to represent the variation of thunderstorm activity at Cape Kennedy, Fla. Statistical methods are presented using the latest and most comprehensive thunderstorm data available. The conclusion is reached that the negative binomial distribution and a modification of the negative binomial distribution may be used as provisional statistical models to represent “thunderstorm events” and “thunderstorm bits,” respectively, at Cape Kennedy.

Abstract

Several statistical distribution functions are investigated as prospective models to represent the variation of thunderstorm activity at Cape Kennedy, Fla. Statistical methods are presented using the latest and most comprehensive thunderstorm data available. The conclusion is reached that the negative binomial distribution and a modification of the negative binomial distribution may be used as provisional statistical models to represent “thunderstorm events” and “thunderstorm bits,” respectively, at Cape Kennedy.

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