STATISTICAL-DYNAMICAL DOWNSCALING OF WIND CLIMATOLOGIES

A statistical-dynamical downscaling procedure is applied for an invest igation into the availability of wind power over a region of 80 x 87 k m which covers flat and hilly terrain. The approach is based on the st atistical coupling of a regionally representative wind climate with a numerical atmospheric mesoscale model. The large-scale wind climatolog y is calculated by a cluster-analysis of a time series of radiosonde d ata over 12 years. Any of the resulting 143 clusters represents a part icular combination of geostrophic wind components and vertical tempera ture gradient. For each cluster, a highly resolved steady-state wind f ield is simulated with a non-hydrostatic mesoscale model. These wind f ields are statistically evaluated by weighting them with the correspon ding cluster frequency. The resulting three-dimensional wind field and the frequency distributions of windspeed and direction are compared w ith observations at synoptic stations.