Climatic zoning of East Azerbaijan by LARS-WG down scaling model for 2011-2065

Climate changing specially cumulative temperature is most important issue in 21 century. Then evaluation of this problem on a global regional and local scales is very important. Nowadays, A lot general circulation model to predict future climate conditions were designed. But the output from these models have been developed. On a regional and local scales, one of the most common methods is the use of LARS-WG model downscaling. In this study, with the aim of climatic zoning of East Azerbaijan province. In the first, climate data of fifteen years (up to2010) for ten synoptic stations were collected. Then by using the mentioned model, information for 2011-2030 to 2046-2065 was produced. By using the inverse distance weighting method, the province was zoned and after that the performance of method analyzed which shows the acceptable result. According to the model outputs, about precipitation, in both period, the amount of that will decrease which the most is belong to 2065 that it is 40mm of average observation period.