Evaluation of ability of LARS-WG model for simulating some weather parameters in Sanandaj

Nowadays, the scientists and climate researchers have been focused on prediction of long-term climatic parameters caused by climate change. GCM models can predict climatic parameters as LARS-WG. This model can produce daily rainfall, radiation and temperature maximum and minimum daily. Model using of semi-empirical distribution will generate wet and dry days, daily rainfall and radiation. In this research, the possibility of using of LARS-WG model was evaluated to simulate some weather parameters in Sanandaj. The model was able to simulate maximum temperature, minimum temperature and radiation but it was not able to simulate rainfall data. So results showed that mean of minimum, maximum temperatures and rainfall will raise, 0.99, 0.01 ºC and 6.95 mm during period from 2030 to 2011 in Sanandaj respectively. Also, solar radiation will decrease about 0.075 MJ/m2. Day and the greatest rainy days obtained in February (6.75 mm) and the lowest in March (3.95 mm). Also results showed that the hot days will increase in warm months and the highest mean will occur in June. The greatest of frost days occurred in January with 25.60 day as average. Therefore, considering the results presented and good accuracy of model in estimating the parameters, it can be used for evaluation and prediction of climate change in Sanandaj station.