final_program_abstracts[1]

11 IMSC Session Program
Intermittency, autoregression and censoring: Application to
daily precipitation
Wednesday - Poster Session 5
A. Hannachi
Department of Meteorology, Reading University, Reading, UK
Statistical modelling of intermittent geophysical processes is a challenging problem.
Various models have been proposed with differing complexities. One of the
characteristics of these processes, the serial autocorrelation, tends in general not to be
fully accounted for by these models. Here, a simple methodology is presented which
makes use of the plethora of availables tools from continuous time series based on
autoregressive models combined with censoring to model the zero values. The
methodology can be used as a weather generator. The theory of the methodology is
presented and application to daily precipitation is discussed.
Abstracts 204