Based on estimated data of the high-resolution simulation of climate change model under RCP4.5 (Representative Concentration Pathways) scenarios, combining with daily observed date from 1960 to 2005 in the Huaihe River basin, this paper contrasts and analyses the simulation ability of model between trial period (1960-2005) and estimated period (2006-2040). The results show that trial period data of CCLM (COSMO model in climate mode, COSMO-CLM or CCLM) can accurately simulate monthly average temperature and the correlation coefficient is 0.99 (pass the 95% confidence test); beside, the correlation coefficient of spatial distribution of average daily temperature is 0.72. However it is relatively low in the south of high altitude area (Huoshan and Jinzhai counties in Anhui province) and the spatial correlation of maximum (minimum) extreme temperature is 0.77 (0.88). Furthermore, the overall trend of monthly average precipitation is in line with the observed date and the correlation coefficient is 0.63 (pass the 95% confidence test). SPI reveals that it has errors for simulating drought, but the overall trend reaches consensus. Overall, the simulated results of temperature are better than those of the precipitation. Under RCP4.5 scenarios, the amplitude of spatial distribution of future temperature and precipitation are relatively small at spatial scale, and the annual average precipitation has no significant change at time scale. The interannual variation of average temperature is 0.21℃/10a. The threshold values of maximum and minimum temperatures show that the maximum temperature would continue to rise and the minimum temperature would decline.