Statistical procedures for making inferences about precipitation changes simulated by an atmospheric general circulation model.

Abstract

A statistical methodology is presented for making inferences about changes in mean daily precipitation from the results of GCM climate experiments. A specialized approach is required because precipitation is inherently a discontinuous process. The proposed procedure is based upon a probabilistic model that simultaneously represents both occurrence and intensity components of the precipitation process, with the occurrence process allowed to be correlated in time and the intensities allowed to have a non-Gaussian distribution. -from Author