LOCAL SCALE SIMULATION OF AIR TEMPERATURE BY A TWO -STEP HYBRID DOWNSCALING APPROACH USING REGIONAL CLIMATE MODEL ING AND ARTIFICIAL NEURAL NETWORKS

The scope of this work is to develop a hybrid dynamic -statistical downscaling procedure and quantify its predictive value to estimate air temperature variability at finer spatial scales and indicate significant improvement from the inclusion of the ANN models in downscali ng air temperature.