Prediction of Drought in the Khorasan Razavi Province During 2011-2030 by Using Statistical Downscaling of HADCM3 Model Output

Because of the vital role of water in human life، examining the phenomenon of climate change effects on drought severity and frequency is important for any area of interest. Nowadays، climate Researchers considers the effects of climate change and climate simulations by using the atmospheric-ocean general circulation models. To achieve the prediction of climatologically parameters، various statistical and dynamical models have been developed to simulate and downscaling of GCM output models. The statistical model of LARS-WG is such a model، which is very powerful for this aspect.