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
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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

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Cited articles

Aguirre-Ayerbe, I., Martínez Sánchez, J., Aniel-Quiroga, Í., González-Riancho, P., Merino, M., Al-Yahyai, S., González, M., and Medina, R.: From tsunami risk assessment to disaster risk reduction – the case of Oman, Nat. Hazards Earth Syst. Sci., 18, 2241–2260, https://doi.org/10.5194/nhess-18-2241-2018, 2018. 
Allen, S. C. R. and Greenslade, D. J. M.: Model-based tsunami warnings derived from observed impacts, Nat. Hazards Earth Syst. Sci., 10, 2631–2642, https://doi.org/10.5194/nhess-10-2631-2010, 2010. 
Álvarez-Gómez, J. A.: FMC – Earthquake focal mechanisms data management, cluster and classification, SoftwareX, 9, 299–307, https://doi.org/10.1016/j.softx.2019.03.008, 2019. 
Blaser, L., Kruger, F., Ohrnberger, M., and Scherbaum, F.: Scaling Relations of Earthquake Source Parameter Estimates with Special Focus on Subduction Environment, B. Seismol. Soc. Am., 100, 2914–2926, https://doi.org/10.1785/0120100111, 2010. 
Catalan, P. A., Gubler, A., Cañas, J., Zuñiga, C., Zelaya, C., Pizarro, L., Valdes, C., Mena, R., Toledo, E., and Cienfuegos, R.: Design and operational implementation of the integrated tsunami forecast and warning system in Chile (SIPAT), Coast. Eng. J., 62, 373–388, https://doi.org/10.1080/21664250.2020.1727402, 2020. 
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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.
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.
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