Comparison of the SDSM and LARS-WG weather generators in Modeling of Climate Change in Golestan Province of Iran

The impact of climate change on hydrologic design and management of hydro systems could be one of the important challenges faced by future practicing hydrologists and water resources managers. Because of the increasing demand for water, studying the potential climate change and its impacts on water resources is necessary. The purpose of this paper is to predict the climate change based on the General Circulation Models (GCM), by applying two weather generators, namely SDSM and LARS-WG, at the Golestan province of Iran, in the period of 2011-2040 and compare their Result for a variety of different weather characteristics of the observed and synthetic weather data such as, the lengths of wet and dry series, the distribution of precipitation and Temperature. After modeling different Result obtained from SDSM and LARS-WG Models, will be compare to select the best climate change model for the case study