Evaluation of Climatic parameters in Evan Lake affected by climate change

An examination of the trend of climate data recorded in the past decades, as well as the output results of all climate models predicting the future climate, indicate the occurrence of negligible changes in the global climate. Therefore, long-term forecasting of climate variables has received much attention. In order to predict the climatic parameters in Evan Lake, downscaling of general circulation models (GCMs) was used by using the LARS-WG model. The General Circulation Model (GCM) is the most current method by using in climate change studies. They are a key to understanding changes in climate; Although GCMs are imperfect and uncertain. The LARS-WG model was implemented to predict climatic parameters and the necessary analyzes were performed on its results. After selecting the general circulation model and the scenario more in line with the climatic conditions of the region, the outputs of the selected model were compared with the base period to determine the trend of their changes. The results show a decrease in average rainfall (39.9 mm), an increase in minimum and maximum temperatures (0.4 ° C) and an increase in the number of wet days (7 days) and the number of frost days (5 days). Also, the number of dry days (7 days) and the number of hot days (5 days) will decrease in the climate period 2030-2020.