Seo, J.; Ku, H.; Cho, K.; Maeng, J.H., and Lee, H., 2018. Application of SLOSH in estimation of Typhoon-induced Storm Surges in the Coastal Region of South Korea. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 551–555. Coconut Creek (Florida), ISSN 0749-0208.
SLOSH (Sea, Lake, and Overland Surges from Hurricane) is a dynamic tropical surge model forecasting real-time storm surges by solving two-dimensional Navier-Stokes equations with hydrostatic approximation. To apply this model SLOSH on estimating the typhoon-induced storm surges around Korean coastal regions, a two-dimensional hyperbolic domain covering the East, the West and the Southern Seas of Korea is developed. The grid resolution is as high as approximately 500m at the coast and extended to about 4.2km far away ocean. By adopting 30-m digital elevation map SKKU DEM which has an advantage on connectivity between land and ocean and KorBathy30s which is 30 seconds gridded bathymetry of Korea marginal seas, the local characteristics are considered on the shape of continental shelf of the East Sea, the West Sea, and the Southern Sea. This SLOSH input domain for Korea is examined by applying for three strong, historical typhoons, THELMA(1987), FAYE(1995), RUSA(2002), MAEMI(2003), MEGI(2004) and SANBA(2012) and comparing to observational storm surges at two tidal station located in southern coastal cities of Tongyeong and Yeosu, South Korea. The SLOSH reproduced well the typhoon-induced surge pattern which dramatically increased and suddenly drop as the typhoons are passing through the stations. In case of typhoon MAMEMI(2003) which recorded almost 170cm of typhoon-induced surge height, the model SLOSH estimates it with less 1% error. At this station, the root-mean-square is shown as 27.92.