EIC Climate Change Technology Conference 2013 1 STATISTICAL MODELING OF EXTREME RAINFALL PROCESSES IN THE CONTEXT OF CLIMATE CHANGE CCTC 2013 Paper Number 1569696427
Abstract This paper proposes a Statistical Downscaling (SD) approach to link climate predictors provided by General Circulation Models (GCMs) to extreme rainfalls at a local site. More specifically, the suggested approach is based on the combination of a spatial downscaling method for linking the large-scale predictors to extreme rainfall and a temporal downscaling method for describing the relationships between daily and sub-daily annual maximum precipitations (AMPs). Results of the numerical application to observed AMPs (Quebec, Canada) and climate change scenarios have indicated that it is feasible to link large-scale predictors given by GCMsimulation outputs with daily and sub-daily AMPs at a local site. EIC Climate Change Technology Conference 2013
