With the ongoing global climate warms,Anhui Province has experienced particularly dra-matic changes in its ecological environment and water resources.Given the current limited discussion on the evolution of precipitation patterns in the region,this study uses the national surface daily precipitation dataset(0.5°×0.5°,V2.0)as observational data to evaluate the performance of CMIP6 climate models in simulating precipitation changes over Anhui Province from 1995 to 2014.Models with better simulation performance were selected,and the multi-model ensemble mean(MME)was em-ployed to project the spatiotemporal evolution of future precipitation from 2021 to 2100.The main findings are as follows,1)the multi-model ensemble mean(MME)has a better simulation ability than a single model and can be used to predict the future trend of precipitation changes.After bias correc-tion,the simulated precipitation is generally higher than the observed value.2)Under future scenarios,higher emission levels correspond to faster increases in annual precipitation.Compared with the historical period(1995-2014),the rate of increase is slowest in the near future(0.47 mm·a-1)and peaks in the late 21st century(1.13 mm·a-1).Seasonally,the increase in precipitation is fastest in spring and slowest in winter.3)Spatially,the lowest future annual precipitation change rates are concentrated in southern Anhui.On a seasonal scale,the highest spring change rates are also found in the south,while summer peaks occur in northern Anhui.In autumn,precipitation increases remain low during the early and middle future periods across all scenarios,but rise notably in the late period across the entire province.In winter,change rates vary significantly among scenarios.