A New Class of Probability Distributions for Describing the Spatial Statistics of Area-averaged Rainfall

Abstract

Rainfall exhibits extreme variability at many space and time scales and calls for a statistical description. Based on an analysis of radar measurements of precipitation over the tropical oceans, we introduce a new probability law for the area-averaged rain rate constructed from the class of log-infinitely divisible distributions that accurately describes the frequency of the most intense rain events. The dependence of its parameters on the spatial averaging length L allows one to relate spatial statistics at different scales. In particular, it enables us to explain the observed power law scaling of the moments of the data and successfully predicts the continuous spectrum of scaling exponents expressing multiscaling characteristics of the rain intensity field.