Study of some climate index changes in NCCCSM global circulation model output. Case study: Kermanshah (Iran)

The present study investigates the climate change effect in the future time periods in Kermanshah station in the west of Iran. The daily precipitation, maximum and minimum temperature data were downscaled by LARS-WG downscaling model. Weather data were estimated based on NCCCSM global circulation model and by A1B, A2, and B1 scenarios in three time periods: 2011-2030, 2046-2065, and 2080-2099. 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 on the base time period and the future times indicates that the area climate will approach to aridity. The aridity of the area is more severe in A2 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.