Tsunami Data Assimilation for Early Warning

Dr. Yuchen Wang is a postdoctoral researcher at Japan Agency for Marine-Earth Science and Technology. He received the bachelor’s degree in physics at Peking University. He received the master’s degree and Ph.D. degree in earth and planetary science at the University of Tokyo. His research interest is giant earthquakes and tsunamis. He has been working on tsunami early warning for disaster mitigation. He improved data assimilation algorithm to achieve a rapid and accuracy tsunami forecast. He has published 21 peer-reviewed journal articles and worked as the reviewer for 9 journals including Nature Communications, Journal of Geophysical Research: Solid Earth, and Natural Hazards and Earth System Sciences. He is the principal investigator of the KAKENHI 19J20203 on tsunami data assimilation sponsored by the Japan Society for the Promotion of Science. His research is in collaboration with researchers all over the world.

• Introduction.- Green’s Function-based Tsunami Data Assimilation (GFTDA).- Tsunami Data Assimilation with Interpolated Virtual Stations.- Real-Time Tsunami Detection based on Ensemble Empirical Mode Decomposition (EEMD).- Real-time Tsunami Data Assimilation of S-net Pressure Gauge Records during the 2016 Fukushima Earthquake.- Tsunami Early Warning System Using Data Assimilation of Offshore Data.- Summary.