Highlights What are the main findings? High-resolution WRF-NJU simulation data reliably captured the diurnal variation characteristics of precipitation (DVCP) in eastern Xinjiang, consistent with multiple observational and reanalysis datasets. The DVCP shows pronounced spatiotemporal differences across basins and mountains, with distinct precipitation peaks at different elevations and underlying surface types. What is the implication of the main finding? The results highlight the crucial role of complex topography and land surface conditions in shaping precipitation diurnal cycles, providing new insights into precipitation mechanisms in arid regions. These findings support improved agricultural water management and more rational allocation of water resources, while also informing disaster risk reduction in arid and semi-arid regions.Highlights What are the main findings? High-resolution WRF-NJU simulation data reliably captured the diurnal variation characteristics of precipitation (DVCP) in eastern Xinjiang, consistent with multiple observational and reanalysis datasets. The DVCP shows pronounced spatiotemporal differences across basins and mountains, with distinct precipitation peaks at different elevations and underlying surface types. What is the implication of the main finding? The results highlight the crucial role of complex topography and land surface conditions in shaping precipitation diurnal cycles, providing new insights into precipitation mechanisms in arid regions. These findings support improved agricultural water management and more rational allocation of water resources, while also informing disaster risk reduction in arid and semi-arid regions.Abstract Investigating the diurnal variation characteristics of precipitation (DVCP) in Xinjiang, an arid region of Northwest China, is essential for improving water resource management and disaster mitigation strategies. This study examines the DVCP associated with diverse underlying surfaces in Eastern Xinjiang (EX)-one of the most arid regions in China-during summer (June-August) from 2015 to 2019, using hourly simulation data from the real-time forecasting system of Nanjing University (WRF_NJU). Evaluation against automatic weather station (AWS) observations indicates that WRF_NJU outperforms reanalysis (ERA5), satellite (CMORPH), and MESWEP datasets, demonstrating its reliability for regional precipitation analysis. Further investigation reveals that in the Turpan-Hami Basin (THB), below 1000 m above sea level (ASL), peaks in precipitation amount (PA), intensity (PI), and frequency (PF) occur at 06 local solar time (LST), whereas in mountainous areas above 3000 m ASL, these peaks are delayed until 13 LST. Analysis of the coefficient of variation (CV) shows that the most pronounced differences in DVCP between mountainous and basin regions are associated with PF and PI. Specifically, regions with high CV for PF are concentrated in the central to northern parts of the THB, while high CV for PI is found in the eastern Mid-Tianshan Mountains (MTM) and East Tianshan Mountains (ETM). Moreover, significant differences in DVCP are observed across land surface types: PA peaks over grasslands, forests, and water bodies occur around noon, whereas over impervious surfaces, croplands, and barren areas, they occur during the early morning hours.