Abstract:Based on the CN05.1 dataset and the simulations of the historical simulation from 17 CMIP5 models, their simulating capabilities for the climatology of the annual mean surface temperature and daily mean precipitation over the Jiangsu Province from 1961 to 2004 have been examined. Five optimal models are selected to estimate the climate change under the representative concentration pathways over the Jiangsu Province from 2006 to 2100. The results are as followings:(1) Global Coupled Climate Model has a certain ability to stimulate the spatial distribution characteristics of temperature and precipitation in Jiangsu Province, and the correlation coefficients between the multi-model ensemble mean and the observation data of the temperature and precipitation are 0.85 and 0.93, respectively. (2) The temperature in Jiangsu Province from 2006 to 2100 presents a significant increasing trend under the low concentration path(RCP2.6), medium stable concentration path(RCP4.5) and high concentration path(RCP8.5). The warming range over northern Jiangsu is higher than that over southern Jiangsu. (3) However, the precipitation in the coming 100 years does not show an obvious tendency under the three RCPs, as the precipitation over the southern Jiangsu decreases and that over the northern Jiangsu increases. (4) Moreover, under the three RCPs, the trend of precipitation in Jiangsu is not stable with the surface temperature change. The precipitation increases with the increase of the temperature under the RCP2.6 and RCP 4.5, while the precipitation under the RCP8.5 decreases with the increase of temperature.