Recently, dense and wide-spanned ocean-bottom observation networks such as DONET and S-net have been deployed in Japan. Such networks enable us to obtain near-field records associated with offshore earthquakes and tsunamis and to improve tsunami early warning. Near-field records, however, contain not only tsunami signals but also other phenomena (e.g., coseismic displacement). Now I am trying to develop a method to extract tsunami heights from near-field data on a real-time basis.
Mizutani, A., Yomogida, K., & Tanioka, Y. (2020). Early tsunami detection with near-fault ocean-bottom pressure gauge records based on the comparison with seismic data. Journal Geophysical Research: Oceans, 125, e2020JC016275. doi: 10.1029/2020JC016275
Mizutani, A., & Yomogida, K. (2022). Back-projection imaging of a tsunami excitation area with ocean-bottom pressure gauge array data. Journal of Geophysical Research: Oceans, 127, e2022JC018480. doi: 10.1029/2022JC018480
Mizutani, A., & Yomogida, K. (2023). Source estimation of the tsunami later phases associated with the 2022 Hunga Tonga volcanic eruption. Geophysical Journal International, ggad174. doi: 10.1093/gji/ggad174
Mizutani, A., & Melgar, D. (2023). Potential Volcanic Origin of the 2023 Short-period Tsunami in the Izu Islands, Japan. Seismica, 2(2). doi: 10.26443/seismica.v2i2.1160