Affected by climate change,water shortage is serious and natural disasters occurring frequently. Effective forecasting and assessment on the future state of water resources will provide theoretical and decision- making reference for the rational allocation of water resources.Global climate models are the main means of large-scale simulation and prediction for future precipitation.However,the quality of model data and the suitability of different research area need a systematic assessment.Based on the monitoring precipitation data from 2474 meteorological stations during the period from 1971 to 2000 in China,we performed the systematic assessment on the simulated precipitation data from five CMIP5 models(0.5°*0.5°resolution),and analyzed applicability of the simulated precipitation data of CMIP5 model in China.Comparative analysis was conducted to detect the characteristics of temporal and spatial variation trend of precipitation data of five CMIP5 model and meteorological stations in China from 19712000.Empirical correction on monthly precipitation data from CMIP5 models was conducted and systematic assessment of data quality of the corrected data was also performed using the correlation coefficient(r),the average deviation(DAVE),relative absolute Error(ERA)and the root mean square error(ERMS)indicators in aspects of data consistency and the ability to describe the trend for China region.Annual precipitation simulated from five CMIP5 models in China was higher than the monitoring data by more than 20%,however,by empirical correction,the error of monthly precipitation data with monitoring data was greatly reduced.Results of evaluation for five CMIP5 models show that the most suitable model for China is HadGEM2-ES model.Systematic assessment for model data can provide theoretical and technical reference for the rational choice,correction and application of CMIP5 data set.