| Title |
Utilizing SMILE Climate Simulations to Project Disaster Occurrence Characteristics in East Asia: A Focus on Heatwaves |
| Authors |
황석환(Hwang, Seokhwan);마정혁(Ma, Jeonghyeok);강나래(Kang, Narae);윤정수(Yoon, Jungsoo);나우영(Na, Wooyoung) |
| DOI |
https://doi.org/10.12652/Ksce.2025.45.6.0699 |
| Keywords |
폭염; 기후변화; SMILE; 공간적 불균질성; 극동아시아 Heatwave; Climate change; Single model initial-condition large ensemble; Spatial heterogeneity; Far East Asia |
| Abstract |
This study quantitatively evaluates the accuracy and computational efficiency of two rainfall-runoff implementations—Rain-on-Subcatchment (RoS) and Rain-on-Grid (RoG)—using the coupled 1D-2D KICT-UF model to address urban flooding. Simulations were conducted on a laboratory catchment and a real urban basin (Sangpyeong District, Jinju) under identical boundary conditions. In the laboratory experiments, RoG consistently outperformed RoS, demonstrating superior reproducibility of peak flows and temporal variations; notably, RMSE decreased by approximately 57 % under 80 mm/h rainfall. Conversely, in the real urban basin, although RoG achieved a slightly higher spatial coincidence with observed inundation traces (81.1 %), it tended to overestimate the inundated area twofold due to simplified sewer inlet representations. Regarding efficiency, RoS was approximately 12 % faster than RoG. Consequently, RoG is recommended when high-fidelity topographic and network data are available, whereas RoS serves as an efficient alternative for rapid forecasting or scenarios with substantial data uncertainties. |