Extreme precipitation may lead to various mountain hazards. Hence mountainous regions are faced with more uncertainties posed by a changing climate. In order to reduce the adverse impact of extreme precipitation and relevant mountain hazards,it is of vital importance to characterize the spatial-temporal distribution of extreme precipitation for the future. Many studies have analyzed the holistic distribution for future climate scenarios. However,there is still a lack of detailed information to depict daily extreme precipitation,which establishes the foundation for hazard dynamic analysis in specific locations. In this study,the recently released climate projection data were statistically downscaled by historical data from 50 local meteorology stations in and around the study area over the period 1981-2010. Based on the downscaled NEX-GDDP daily precipitation over the period 2010-2060,spatiotemporal patterns of extreme precipitation from three perspectives including intensity,frequency and duration had been analyzed for the disaster-prone area in the north Hengduan Mountains with spatial resolution 1 * 1 km. Results showed that the total precipitation tended to fluctuate greatly and regional variation existed in the study area. It's worth noting that both the frequency and spatial range of extreme precipitation presented a significant increasing trend in the RCP 4. 5 scenario. Regarding duration index,the spatial patterns of short-term extreme precipitation were consistent with that of long-duration extreme precipitation except for the Min Mountains. For short-term extreme precipitation,rainstorms( ≥50 mm) occurred more frequently in most of the study area while heavy rainstorms( ≥100 mm) were projected to occur mainly in the Qionglai Mountains. In terms of longduration extreme precipitation,the occurrence frequency was higher in alpine regions of the Qionglai Mountains and the Daxue Mountains,as well as the transition zones from mountain to plain,which may be caused by the passing-obstructing effect of terrain complexity. Moreover,extreme precipitations on the link with the distribution of local slope factors showed higher frequency in steep convex slope than concave slope,which was also confirming the similar local topography effect.