Climate Change Assessment over Zagros by Using Statistical Downscaling of ECHO- G Model (2010-2039)

Introduction Daily increase of industrial activities causes effects like green house gases emission in the recent decades. This harmful effects cause considerable changes in whether condition in many parts of the planet earth. Most important effects are, increase in mean temperature, flood, storm, hail and sea level fluctuations. The forecasting and assessments of climate change have some difficulties at surface circulation of green house gases and large scales separate in general atmospheric circulation. Because of low spatial resolution of General Circulation Models, weather and climate cannot be predicted accurately. Assessment of the climate change in future needs to introduce new climate scenarios. For this purpose, the climate data should be predicted and simulated for coming periods by using outputs of Atmospheric- Ocean General Circulation Model. In this paper, LARS-WG model and A1 scenario from ECHO-G model are used for assessing and predicting climate change in Zagros (2010-2039). Materials and methodsThe region under study. The region in question is Zagros. In these research grided meteorological outputs of ECHO-G model including precipitation, maximum and minimum temperature and radiation have been downscaled over 18synoptic stations of Zagros during 2010-2039 with A1 scenario