By technology development and industrialization of human societies, we have seen an increase in greenhouse gases produced in the earth that causes the occurrence of climate change. By disturbing the balance in different parts of the earth we have seen negative results like a flood, drought, etc., so based on the importance that climate change has on the earth and its residents, and long term prediction of climate parameters has always been of interest. One of the most popular and appropriate methods for evaluation of future climate is using atmosphere general circulation model that by using micro scaling models and different scenarios of climate change, it tries to predict climatic parameters for the future. this research, for predicting climatic parameters in Lar dam basin by using SDSM micro scaling model and by using temperature and daily rainfall of synoptic station area in base period (1984–1995) one wants to create statistical downscaling to estimate climatic oscillations, also model efficiency amount evaluated based on correlation coefficient statistical test R² and standard error (RMSE) that results confirmed relative and acceptable adaptation of simulated values by model and observed values in basic period (observations), in next level by using outputs of CanESM2 model and based on 3 scenarios of Rcp¹ 2/6, Rcp 4/5 and Rcp 8/5 they predicted parameters of minimum temperature, maximum temperature and rainfall in period of years (2020–2060). The results of this research show that the temperature average in the considered region (1/01 to 1/12 degree centigrade) and the average rainfall amount increases by about 21/23 percent based on three considered scenarios. By regarding gained results in period (2020–2060) Lar dam region witnessing tangible climate change towards current situation that by regarding Lar dam strategic situation in this region and issue of water supply by the dam, long term and strategic planning is necessary for the management of these conditions.

通过人类社会的技术发展和工业化，我们已经看到地球上产生的温室气体增加，导致气候变化的发生。通过扰乱地球不同部分的平衡，我们看到了洪水，干旱等负面结果，因此基于气候变化对地球及其居民的重要性，长期以来一直对气候参数进行预测出于兴趣。评估未来气候的最流行，最合适的方法之一是使用大气总环流模型，该模型通过使用微观尺度模型和不同的气候变化情景，试图预测未来的气候参数。这项研究²和标准误差（RMSE），通过使用CanESM2模型的输出并基于Rcp ^1的3个场景，结果确认了模型和基础周期（观测值）中模拟值的相对和可接受的适应性，以及下一阶段的基本值（观测值）2/6，Rcp 4/5和Rcp 8/5预测了几年（2020-2060年）的最低温度，最高温度和降雨量的参数。这项研究的结果表明，在三种考虑的情况下，所考虑区域（1/01至1/12摄氏度）的平均温度和平均降雨量增加了约21/23％。考虑到（2020-2060年）期间取得的成果，拉尔大坝地区正朝着目前的状况发生明显的气候变化，通过考虑该地区的拉姆大坝战略状况和大坝的供水问题，需要长期和战略规划来进行管理这些条件。