A STATISTICAL-DYNAMICAL DOWNSCALING PROCEDURE FOR GLOBAL CLIMATE SIMULATIONS

A statistical-dynamical downscaling procedure for global climate simul ations is described. The procedure is based on the assumption that any regional climate is associated with a specific frequency distribution of classified large-scale weather situations. The frequency distribut ions are derived from multi-year episodes of low resolution global cli mate simulations. Highly resolved regional distributions of wind and t emperature are calculated with a regional model for each class of larg e-scale weather situation. They are statistically evaluated by weighti ng them with the according climate-specific frequency. The procedure i s exemplarily applied to the Alpine region for a global climate simula tion of the present January climate.