Abstract:The Yangtze River Delta urban agglomeration in eastern China was selected as the research object, and the latest land cover data of China—ChinaLC and the mesoscale Weather Research and Forecasting model (WRF) were used to dynamically downscale the RCP4.5 (Representative Concentration Pathway 4.5) scenario prediction results provided by the CESM (Community Earth System Model) climate model in the fifth phase of CMIP5, in order to study the regional climate change of the future warming of 1.5 ℃ / 2.0 ℃.Results show that the results of downscaling simulation using CESM data as the lateral boundary data driven WRF model are compared with the temperature observation data in the historical period (1996-2005), and the spatial distribution is in high agreement. This downscaling scheme can provide more reliable data for the prediction of regional temperature change in the future. The regional mean air temperature will be increased by 0.8 ℃ and 1.47 ℃ respectively if the global temperature would increase 1.5 ℃ / 2.0 ℃ in the Yangtze River Delta region compared with the historical period. In the spatial distribution, the most obvious change is the area of mosaic and cities. From the perspective of spatial distribution, the most obvious warming area is mainly concentrated in the city and its surrounding mosaic area. In addition, with the development of global warming, the frequency of high-temperature heatwaves will increase 47% times and 100% times than that of historical period, and the intensity of high-temperature heatwaves will increase 71% and 129% times, respectively during the period of increasing temperature 1.5 ℃ / 2.0 ℃. Compared with the 2.0 ℃ temperature rise threshold, the number of people affected by the most uncomfortable areas will be reduced by 56.029 million if the controlled warming is within 1.5 ℃.