Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2415-2026
https://doi.org/10.5194/nhess-26-2415-2026
Research article
 | Highlight paper
 | 
29 May 2026
Research article | Highlight paper |  | 29 May 2026

The TSUSY Database: a global database of historical tsunami events and a tsunami-occurrence criterion based on historical earthquakes

David Galán Pérez, Iñigo Aniel-Quiroga, Albert Gallego, Ignacio Aguirre-Ayerbe, Mauricio González, Omar Quetzalcóatl, Jose A. Álvarez-Gómez, and Luis Pedraz

Data sets

The GEBCO_2023 Grid - a continuous terrain model of the global oceans and land GEBCO Bathymetric Compilation Group 2023 https://doi.org/10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b

Model code and software

TsunamiClassifier Albert Gallego Jiménez https://github.com/AlbertGallegoJimenez/TsunamiClassifier

Download
Editorial statement
This study introduces the simulation-based global dataset, TSUSY, that systematically links earthquake characteristics to tsunami occurrence, providing an unprecedented foundation for understanding the global-scale tsunamigenic potential. It further advances the field by developing a robust, operationally relevant tsunami-occurrence criterion that enhances real-time decision-making and balances missed events and false alarms in tsunami warning systems.
Short summary
Tsunamis can have devastating consequences, yet it remains challenging to identify which earthquakes generate them. This study presents a criterion for identifying tsunamigenic events based on numerical simulations, as well as a global database of tsunami simulations based on historical earthquakes. By comparing the results with historical records, this approach can improve tsunami identification and support tsunami warnings worldwide.
Share
Altmetrics
Final-revised paper
Preprint