This study investigates the simulation skill of Meiyu precipitation over the middle and lower reaches of the Yangtze River (MLYR) in the regional climate model of RegCM4.7. To examine the potential roles of the cumulus convective parameterization schemes (CCPSs), horizontal resolutions (HRs), microphysics parameterizations and land models on the simulation skill of Meiyu precipitation, we carried out totally 96 sets of numerical experiments based on various model configurations. In general, RegCM4.7 has good performance in simulating the Meiyu precipitation over the MLYR, from the perspective of both the Meiyu simulation experiments for the super Meiyu case in summer 2020 and the long-term period of 1990-2020. Our quantitative analysis reveals that the CCPS plays a vital role in influencing the Meiyu simulation skill. Specifically, the Tiedtke scheme shows the best performance in yielding Meiyu precipitation, whereas the Grell scheme shows relatively low skill. The relatively reasonable simulation with the Tiedtke scheme was attributed to the reasonable representation of the convective precipitation, as well as the ratio of the convective precipitation to the stratiform precipitation. Furthermore, the impacts of HRs on the Meiyu precipitation simulation are tightly tied to the terrain. The low-HR (60 km) experiment tends to show a significant overestimation of precipitation over the complex terrain region. Along with the increase of HR, such wet bias of precipitation due to complex terrain can be significantly reduced. It is found that the mesoscale convective system (MCS) precipitation is anchored by steep terrain in the low-HR experiment, leading to the wet bias in long-term average of the precipitation; in contrast, the high-HR experiment is able to duplicate the diurnal variation of the MCS over the complex terrain that is generated in the afternoon and gradually propagates eastward, and such reasonable representation of MCS’s feature ultimately contributes to the reasonable long-term average of the precipitation during the Meiyu season. Besides, the results show that the Meiyu simulation skills are not sensitive to the choice of the microphysics parameterizations and land models. Overall, the current numerical experiments show that RegCM4.7 is capable of simulating Meiyu precipitation over the MLYR (even for the super Meiyu case in 2020), and the configuration with the Tiedtke CCPS tends to have the better simulation skills than other CCPSs in the RegCM4.7.