STORM SURGE ESTIMATION AROUND JAPAN USING FINITTE VOLUME COMMUNITY OCEAN MODEL AND MESO-SCALE MODEL

Abstract

 Due to rising sea temperatures caused by the global warming, there has been growing concerns about the attack of huge typhoon and its-induced storm surge. Sophistication of storm surge model and real time prediction are, therefore, important to prevent and mitigate storm surge disaster. In this study, we developed a storm surge simulation system using Finite Volume Community Ocean Model (FVCOM), MSM data of Japan Meteorological Agency and the Ocean Tidal Model NAO.99Jb so as to predict storm surge in real time. The validity and applicability of the system were verfieid by calculating storm surge caused by previous typhoon and comparing with the field observation. As a result, the numereical results showed that the system is able to reproduce the maximum value and peak time of storm surge. The system was also confirmed to be applicable to real time storm surge prediction by conducing MPI parallel computation on high-performance computer system.