Technical Note: Prediction of climatic parameters caused by climate change, case study: Balqur Watershed in Kardeh Dam, Khorasan-Razavi Province

Weather generator models are used to predict climate parameters variations caused by climate change phenomenon. It can be used as a downscaling method for hydrological modeling, risk assessments in agriculture etc. Herein this research, HadCm3 model were used. Three different scenarios were considered. Downscaling were done using LARS-WG model. LARS-WG is a statistical downscaling model. Different climatic parameters such as minimum and maximum monthly temperature, minimum and maximum precipitation were predicted based on A1B, B1 and A2 scenarios. This research was done for Balqur Watershed in Kardeh Dam in Mashhad. Base line period is 1961-2010. Prediction was done for 2046-2065. Results showed that changes in minimum temperature would be higher than maximum in 2046-2065. Generally precipitation would be decreased except for a light increase in A2 scenario. But even if it is considered, it would not be as important as an increase in temperature would increase evaporation too. So, with regard to this fact and be aware of directly and indirectly negative effects of climate change on the environment and other sectors, strategic long-term plans to manage the new situation seems inevitable and necessary.