Under the background of global climate change,simulation of regional water cycle and assessment of the impacts of climate change are of great significance to the sustainable management of regional water resources.Located in the transition zone between the northern and southern climate,Xiaohong River Basin is one of the most sensitive areas to climate change in China.In this study,a semi-distributed hydrological model HYPE,was used for hydrological simulation.Using the weather data series generated by the LARS-WG weather generator,the HYPE model was used to simulate the hydrological processes under 65 different future climate change scenarios.The sensitivity of discharge to climate change by season in the basin and its spatiotemporal patterns were analyzed.The results have shown that HYPE is capable of simulating the hydrological cycle of the Xiaohong River Basin well with good applicability.Changes in precipitation have significant impacts on discharge in all four seasons at the upper,middle,and lower regions of the Xiaohong River Basin.The impacts of changes in temperature on discharge vary both spatially and temporally.In addition, there is no significant interaction between rainfall and temperature in their impacts on discharge.The sensitivity of discharge to climate change has also exhibited distinct spatiotemporal differences.