- 1Korea University, Department of Civil, Environmental, and Architectural Engineering, Seoul, Korea, Republic of (ckghdud2@korea.ac.kr)
- 2Korea University, Future and Fusion Lab of Architectural, Civil and Environmental Engineering, Seoul, Republic of Korea (jongjin.baek@gmail.com)
- 3University of Hawaii at Manoa, Department of Civil and Environmental Engineering, Honolulu, HI, USA (jinwookl@hawaii.edu)
- 4Dong-A University, Department of Civil Engineering, Busan, Korea, Republic of (wna92@dau.ac.kr)
- 5Korea University, School of Civil, Environmental, and Architectural Engineering, Seoul, Korea, Republic of (cjun@korea.ac.kr)
This study proposes a method utilizing Rainfall Transition Probability (RTP) to create rainfall scenarios that consider the temporal distribution of heavy rainstorm events. RTP refers to the probability of rainfall amount at time t occurring after a specific rainfall amount at time t+1. The method consists of a temporal distribution that builds region-specific RTPs using rainfall data observed at 1-minute interval, a function that users define the desired conditions for the rainfall scenario, and a processing module that generates scenarios based on the RTP. To develop the RTP, the rainfall data about 1-minute interval used for separating Independent Rainstorm Events (IREs) according to each region. Among the identified IREs, those exhibiting high-intensity rainfall (above 15 mm/hour) are used to calculate and establish the RTP. Afterward, users define the conditions for the rainfall scenario in the function with conditions such as region, total rainfall, and rainfall duration. The generator then utilizes the RTP for the selected region to generate various rainfall scenarios with different temporal distributions and presents them to the user. By extracting the temporal distribution from regional IREs, the generator reflects local rainfall patterns and can be applied to regional hydrological modelling.
Keywords: Rainfall Generator, Rainfall Transition Probability, 1-minute Rainfall Data, Temporal Distribution, Heavy Rainstorm Events
Acknowledgment
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2024-00334564).
How to cite: Cha, H., Baik, J., Lee, J., Na, W., and Jun, C.: Development of Rainfall Scenario with Transition Probability Reflecting on Temporal Distribution of Heavy Rainstorm Events, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5084, https://doi.org/10.5194/egusphere-egu25-5084, 2025.
