Extreme precipitation events, which are known as natural hazards, are expected to increase in frequency and intensity due to global warming (with magnitude of 4% to 8% per 1℃ of warming), leading to various types of floods and natural hazards globally. Understanding changes in extreme precipitation events is crucial for effective disaster management and mitigation. In the current study, the probabilities of extreme precipitation events occurrences during period of 1962-2019, have been investigated over Iran. To do this, daily gridded precipitation data from Asfazari dataset with spatial resolution of 0.25 Gaussian grids, has been used. The probabilities of the number of occurrences of extreme precipitation events exceeds specific thresholds was modeled using the Gamma distribution. The results indicate that the probabilities of extreme precipitation events increased significantly over Iran. The extreme precipitation events with intensity of ≥ 10 mm.day-1 and ≥ 15 mm.day-1 increased by 30% and 23% in the western parts of Iran during the study period, respectively. This study reveals that the statistical Gamma distribution model helps to explain the changes in extreme precipitation events in the context of climate change which yields crucial information that facilitates effective planning and policy making in water management, particularly flood protection.
