Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-2415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
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29 May 2026
Research article | Highlight paper |
| 29 May 2026
| 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
CORRESPONDING AUTHOR
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Iñigo Aniel-Quiroga
IDOM, Consulting, Engineering, Architecture – Avda. Zarandoa 23, 48015, Bilbao, Bizkaia, Spain
Albert Gallego
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Ignacio Aguirre-Ayerbe
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Mauricio González
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Omar Quetzalcóatl
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
Jose A. Álvarez-Gómez
Department of Geodynamics, Stratigraphy and Palaeontology, Faculty of Geology, Complutense University of Madrid, C/ José Antonio Novais, 12, 28040 Madrid, Spain
Luis Pedraz
IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
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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.
This study introduces the simulation-based global dataset, TSUSY, that systematically links...
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.
Tsunamis can have devastating consequences, yet it remains challenging to identify which...
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