عنوان مقاله [English]
نویسندگان [English]چکیده [English]
The present study investigates the climate change effect in future time periods in Kermanshah station in west of Iran. The daily precipitation and maximum and minimum temperature data were downscaled by LARS-WG downscaling model. Weather data were estimated based on NCCCSM global circulation model and by A?B, A?, and B? scenarios in three time periods: ????-????, ????-????, and ????-????. The climate indices used in the study include Johansson Continentality Index, Kerner Oceanity Index, De Martonne Aridity Index, and Pinna Combinative Index. Comparing the results of the four indexes in the base time period and the future ones indicates that the area climate will approach aridity. The aridity of the area is more severe in A? scenario than the other two scenarios. According to the precipitation-temperature diagram of the area May will get dry gradually, and April also, will approach dry conditions.