Global optimization of a numerical two-layer model using observed data: a case study of the 2018 Sunda Strait tsunami
2020 · Geoscience Letters · 19 citations
https://doi.org/10.1186/s40562-020-00165-5
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Anawat Suppasri
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Anawat Suppasri is an academic researcher from Tohoku Institute of Technology. The author has contributed to research in topics: earthquake and tectonic studies & Earthquake and Tsunami Effects & Disaster Management and Resilience. The author has an h-index of 39, co-authored 235 publications.
ORCID: 0000-0001-5449-4403Papers by this author
worksA Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements
2025 · Scientific Data · 12 citations
https://doi.org/10.1038/s41597-025-05562-z
Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment
2024 · Communications Earth & Environment · 6 citations
https://doi.org/10.1038/s43247-024-01468-7
Approaches to post-tsunami coastal reconstruction: Comparisons across Indonesia, Thailand, and Japan
2024 · International Journal of Disaster Risk Reduction · 3 citations
https://doi.org/10.1016/j.ijdrr.2024.105138
A surrogate-assisted nonlinear inversion of tsunami waveform and trace height: application to the 2024 Noto Peninsula earthquake in Japan
2025 · Earth Planets and Space · 3 citations
https://doi.org/10.1186/s40623-025-02274-x
Tsunami hazards and risks from the Philippine Trench: The cases of 2012 and 2023 Mw 7.6 tsunamigenic earthquakes
2025 · Ocean Engineering · 2 citations
https://doi.org/10.1016/j.oceaneng.2025.120985
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