Snow Disaster Hazard Assessment on the Tibetan Plateau Based on Copula Function

In the context of global climate change, Tibetan Plateau is particularly susceptible to meteorological disasters, including snow disasters. This study utilized daily temperature and precipitation data from 44 stations on spanning 1960 2018 construct a event dataset. Optimal marginal distribution copula function were chosen calculate joint return period probability, which effectively assess hazard disasters in region. Additionally, analyzed comprehensive risk under various periods by integrating social economic data. The results indicate following: (1) Based five different Archimedean functions, an error rate each station was calculated be less than 36%, significantly lower recurrence interval univariate analysis; (2) High-hazard areas are predominantly concentrated northwest region Tanggula Mountains eastern foothills Bayankara Mountains. As increases, spatial disaster probability shifts gradually “double-core” continuous distribution; (3) northwestern Karakorum two distinct high-risk for range expands with increase period.