Abstract: Using daily precipitation data from national meteorological stations spanning 1960 to 2024, this study employed linear analysis, Mann-Kendall tests, wavelet analysis, and EOF decomposition to investigate precipitation climate trends, cyclical patterns, drought-flood characteristics, and storm characteristics in the Lishui River Basin. The findings provide critical references for flood control, disaster prevention, and optimal water resource allocation. Results indicate: Over the past 65 years,average precipitation in the basin has shown no significant trend, with uneven seasonal distribution—higher rainfall in spring and summer versus lower amounts in autumn and winter, particularly concentrated in June-July. Significant cyclical patterns were observed on 5-year and 25-year time scales, with the upper and middle reaches of the main channel being sensitive zones for consistent precipitation variations. Topographic factors influence precipitation distribution. The number of annual rainstorm days increased while heavy rain events decreased, though these trends lacked statistical significance. Late June saw frequent prolonged rain events, with 2-day events occurring most often in the small tributary basins, while 3-day events predominate in the upper and middle reaches of the main river. Spatially, precipitation distribution shows a northwest-dense, southeast-sparse pattern.