Abstract: An unprecedented persistent heavy precipitation occurred in Henan Province during 17-22 July 2021, causing huge economic losses. Currently, extreme precipitation forecasting is still a hotspot and difficulty in sub-seasonal climate prediction research. Regional climate models provide a new way to further improve sub-seasonal precipitation forecasting in China, with finer spatial resolution and better parameterization of physical processes than the global models. This study uses the regional Climate-Weather Research and Forecasting model (CWRF) nested with the China Meteorological Administration Climate Prediction System version 3 (CMA_CPSv3) to improve prediction capabilities for this persistent heavy precipitation event. It is shown that the spatial distribution, magnitude, and forecast accuracy of precipitation predicted by CWRF are improved compared to CMA_CPSv3. The CWRF forecasts larger accumulated precipitation and spatial distribution of precipitation more similar to observation, although both models underestimate the amount of precipitation. CWRF forecasts initialized on 26 June and 29 June outperform CMA_CPSv3 on the same initial dates. The CWRF significantly improves the forecast of low-level wind fields and low-level jets in East Asia compared with the CMA_CPSv3. The CWRF is particularly effective in improving the direction of low-level jets and water vapor fluxes, allowing water vapor to converge on the windward slopes of mountain ranges and providing favorable water vapor conditions for precipitation. The CWRF better forecasts the water vapor flux convergence and vertical upward motion over Zhengzhou, and all these improvements lead to the CWRF having higher forecasting skill for precipitation.