1987•Proceedings of the Royal Society of London A Mathematical and Physical SciencesRequires access

Some models for rainfall based on stochastic point processes

I. Rodriguez‐Iturbe, David R. Cox, Valerie Isham

Abstract

Abstract Stochastic models are discussed for the variation of rainfall intensity at a fixed point in space. First, models are analysed in which storm events arise in a Poisson process, each such event being associated with a period of rainfall of random duration and constant but random intensity. Total rainfall intensity is formed by adding the contributions from all storm events. Then similar but more complex models are studied in which storms arise in a Poisson process, each storm giving rise to a cluster of rain cells and each cell being associated with a random period of rain. The main properties of these models are determined analytically. Analysis of some hourly rainfall data from Denver, Colorado shows the clustered models to be much the more satisfactory.

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Key concepts: Storm, Point process, Poisson distribution, Intensity (physics), Poisson process, Event (particle physics), Cox process, Stochastic process