Outputs of GCMs downscaled by LARS-WG model for assessing the Climate Change in Ardebil Province. Outputs from 2 GCMs models (MPEH5, HADCM3) based on 2 scenarios (A2, B1) were used for predicting climatic parameters during 2011-2030. Model that has lowest difference com More
Outputs of GCMs downscaled by LARS-WG model for assessing the Climate Change in Ardebil Province. Outputs from 2 GCMs models (MPEH5, HADCM3) based on 2 scenarios (A2, B1) were used for predicting climatic parameters during 2011-2030. Model that has lowest difference compared to the average results has chosen as a suitable model for predicting the future. Outputs of chosen Model were compared with the base data to determine their trends. The results showed that minimum and maximum temperatures (0.4 ° C) and dry day length (9 days) will increase. Also rainfall (27.5 mm), wet day length (9 days), hot day length (2 days) and frost day length (4 days) will decrease in the period of future.
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