Kim, D.-S.; Lee, H.-Y.; Kim, D.-H.; Hong, S.-J., and Park, H.-S., 2018. Development of real-time forecasting technology for coastal disaster analysis. 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. 871–875. Coconut Creek (Florida), ISSN 0749-0208.
The purpose of this study was to design a system to provide decision-making support to the National Disaster and Safety Status Control Center regarding swell-like wave hazards on the eastern coast of Korea. Based on the results obtained from two test beds used for swell-like wave predictions, a system for forecasting swell-like waves was developed. The model used real-time data from the Regional Data Assimilation and Prediction System of the Korea Meteorological Administration. Using 624 parallel clusters, it required approximately 3 h from receipt of the real-time data to produce the swell-like wave scale criteria through the web platform. The five levels of the swell-like wave scale criteria (Normal, Attention, Notice, Caution, and Hazard) can provide decision-making support to the National Disaster and Safety Status Control Center, thus enabling appropriate measures to be taken for each situation.