Abstract：Short-duration heavy precipitation is one type of the most important severe convective disaster weather in China, which is prone to cause urban waterlogging and secondary geological disasters such as mountain torrents, mudslides, and landslides. This paper reviews the main progress in short-duration heavy precipitation in China in recent years, and compared the relevant research findings of the United States and Europe briefly, covering the spatiotemporal distribution characteristics and diurnal variation characteristics of short-duration heavy precipitation; the atmospheric circulation situation and environmental conditions for the occurrence and development of short-duration heavy precipitation in major regions of China; the radar echo characteristics and raindrop characteristics; the impact of topography and urbanization on short-duration heavy precipitation and its mechanism; and then the application of artificial intelligence in the potential forecasting, short-term forecasting, and nowcasting of short-duration heavy precipitation in China. With global warming, the frequency and intensity of short-duration heavy precipitation are increasing. In the future, it is necessary to further study its formation mechanism and environmental conditions, improve the spatiotemporal resolution of observations, strengthen the application of new observation data, enhance the forecasting capability of highresolution rapid update cycle assimilation numerical weather prediction models through the fusion analysis of multi-source and dense observation data, optimize the deep learning model and algorithm, especially in the development of large deep learning models to enhance the forecasting and early warning capabilities for shortduration heavy precipitation.