CMIP6 is a project which has participated in the largest number of models, designed the most abundant numerical experiments and provided the largest amount of simulation data in the past 20 years (Xiang et al. 2021). Considering the computational efficiency and model performance, seven different models of CMIP6 (i.e., CanESM5, EC–Earth3–Veg, GFDL–ESM4, IPSL–CM6A–LR, MIROC6, MPI–ESM1-2–LR and MRI–ESM2-0) were selected in the study to get the daily surface precipitation data. These Global Climate Models (GCMs) were widely used and achieved good performance in many regions, especially in China or the Yangtze River Basin (Table 1). Moreover, five different climate change scenarios, including SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5, were selected to represent the scenarios of ultra-low, low, medium, medium-high and high radiative forcings. These data are freely collected from the website of https://esgf-node.llnl.gov/search/cmip6/. In this study, 1984–2014 was selected as the historical period and the period for climate projection was 2021–2100. To facilitate intercomparison, the spatial resolution of all model outputs was interpolated into a common 0.5° × 0.5° grid using the bilinear interpolation method.