Abstract: Based on the daily precipitation data of 11 meteorological stations in Ganjiang River Basin(GRB)from 1960 to 2017, the variation characteristics of rainfall amount, intensity, and days at all levels in the basin was analyzed by using linear trend method, slidingT-test, wavelet analysis and Inverse Distance Weight (IDW), and then the correlation between rainfall indicators and large-scale climate indices such as Arctic Oscillation was explored. The results showed that :(1) During 1960-2017, the rain amounts and rain days of light rain and moderate rain present a decreased trend and the trend was significant in 2000; while the rain amounts and rainy days of heavy rain and storm rain had an increasing trend and the trend was significant in 1990. For the rainfall intensity, the change of each grade showed an increasing trend. Furthermore,rainfall amount, days and intensity at different grades had two obvious quasi-periods of 26 and 19 years. (2) The rainfall amount, intensity, and days of heavy rain and rainstorm in GRB showed a decreasing trend from northeast to southwest, while the distribution characteristics of rainfall amount and days of light rainfall were higher in the west and lower in the east. For the spatial variation trend, the total rainfall intensity increased significantly in the whole basin, while the days of light rain showed a significant decrease trend in the whole basin. The amount and the days of heavy rainfall increased significantly in the northeast of the basin. (3) Among the 21 large-scale climate indexes, Eest Atlantic, Western Pacific Subtropic High Area, Western Pacific Subtropic High Intensity, Western Pacific Subtropic High Western Ridge Point mainly significant affected heavy rain and rainstorm in the current year, while North Atlantic Oscillation had the most significant impact on moderate rain and heavy rain in the next year.