Session2: Ports, Coastal Engineering and Management
Title: DATA ASSIMILATION TSUNAMI FORECASTING USING RADIAL FLOW VELOCITY DISTRIBUTION WITH A SINGLE OCEAN RADAR
Toshimichi Kaneto, Tatsuto Kimura, Shunsuke Teraoka
We examined real-time tsunami forecasting based on the data assimilation method using the radial flow velocity distribution observed with a single ocean radar installed at the Kashiwazaki-Kariwa Nuclear Power Station. In order to simulate the radial flow velocity observation at the time of tsunami occurrence, we used a virtual tsunami observation value in which the radial flow velocity from a tsunami numerical simulation is synthesized with the observed velocity from an ocean radar. In the data assimilation tsunami forecasting, the nonlinear long wave theory was used for the tsunami numerical simulation, and the optimal interpolation method was used for the data assimilation. By comparing the tsunami waveforms at the site obtained by the tsunami numerical simulation from the assumed tsunami source, and that obtained by tsunami forecasting using the virtual tsunami observation value, the practical applicability of data assimilation tsunami forecasting with a single ocean radar was confirmed.