Graduate School of Science and Engineering Civil and Environmental Engineering Professor |
This study develops how to assimilate tsunami currents observed by high frequency ocean radars in three dimensional current modeling for the projection of tsunami debris in case the Nankai Trough Megathrust earthquake occurs. Regional Ocean Modeling System (ROMS) is used for the assimilation in Osaka Bay with forcings of tides, freshwater, and wind as well as tsunami currents in three dimensional coordinates. In order to assimilate the tsunami component of the surface currents with the consideration of a tsunami's momentum, high-frequency component is extracted from the observed surface velocities using discrete wavelet transform and assimilated to all vertical layers by nudging. This pragmatic approach better represents both of currents and surface elevation.
Recent researches on tsunami detection with high-frequceny ocean surface radars revealed that the tsunami-detection performance with high-frequecny ocean surface radar (HF radar) strongly depends on the sea surface state and ionospheric condition, means that to realize tsunami early warning system using HF radars, we need to comprehend the seasonal variation of the tsunami detection performance based on longterm radar observations in different sea surface and/or ionospheric conditions. Here, we examined the seasonal variation based on virtual tsunami observation experiments using one-year (2014) HF radar observation data obtained at the west coast of Kii Peninsula and a tsunami simulation for a Mw 9.0 Nankai Trough earthquake. We concluded that the tsunami detection performance on the continental shelf slope depends on ionospheric conditions as well as sea surface state.