Understanding how the internal structure of precipitation events evolves and responds to antecedent thermal conditions is essential for revealing the mechanisms of extreme precipitation in plateau-margin mountainous regions. Using hourly precipitation and air temperature data from 14 national reference meteorological stations in the Hehuang Valley during the warm seasons (May–September) of 2015–2024, this study constructed an event-based precipitation database and introduced the inter-event maximum temperature (Tmaxᵢnter) as an indicator of antecedent thermal accumulation. The Theil–Sen slope estimator, Mann–Kendall trend test, K-means clustering, and binary logistic regression were applied to examine changes in precipitation-event structure and their nonlinear response to antecedent high temperature. Results show that warm-season precipitation was characterized by fluctuating frequency but increasing intensity. Precipitation events were classified into three types—uniform, front-peaked, and rear-peaked—with the proportion of uniform events decreasing and the proportions of front-peaked and rear-peaked events increasing. Tmaxᵢnter was significantly positively associated with extreme precipitation occurrence: for every 1 °C increase in Tmaxᵢnter, the odds of extreme precipitation increased by 13. 4% (OR = 1. 134, 95% CI: 1. 10–1. 17, p < 0. 001). These findings provide a reference for extreme precipitation risk identification and disaster prevention in plateau-margin mountainous areas.
Tian et al. (Mon,) studied this question.