Abstract:In this study,based on the observational data and simulations of eight coupled climate models ensemble and regional climate model(RegCM4),the performance of models are evaluated by means of the methods of variance analysis,correlation analysis,trend analysis and perturbation,and the precipitation change in Jiangsu Province in the future is projected under the scenario of RCP8.5.The study results show that the annual mean precipitation of Jiangsu Province will gradually increase in the future,and the linear increase rate is about 7 mm/(10 a) in the global model simulation,and 1.5 mm/(10 a) in the regional model simulation.The annual mean precipitation in Jiangsu Province will increase by about 2% by 2050,but the change in the regional model simulation is not significant.According to the regional model simulation,the summer precipitation will increase in the future,by up to 20%-30%,but the rate of increase will decrease with time.In the global model simulation,the summer precipitation will have decreased by about 10% by 2050 compared with that at present.The winter precipitation in the regional model simulation will have decreased in different periods in the future,and may be reduced by about 30%-40% compared with that at present.The winter precipitation in the global model simulation in the future will first be reduced,then increased,and by 2050 it will be about 10% higher than that today.For different seasons,the precipitation change in the southern region is more remarkable than that in the northern region.In the case of extreme precipitation,the light rain days in Jiangsu Province decrease,mainly in the southern region,while the heavy rain days increase slightly,but not significantly.However,due to the performance of the global models themselves,the dependence of the regional models on the global models,and the uncertainty of greenhouse gas emissions,the projected results remain uncertain.More global and regional models and further tests are needed in the future to reduce the uncertainty of the projections.