Preprints
https://doi.org/10.5194/egusphere-2026-644
https://doi.org/10.5194/egusphere-2026-644
05 Feb 2026
 | 05 Feb 2026
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

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 Antonio Álvarez-Gómez, and Luis Pedraz

Abstract. Tsunamis are high-impact natural disasters capable of causing significant social, economic, and environmental losses. Despite advances in tsunami warning systems, accurately predicting tsunami occurrence remains a challenge due to the uncertainty associated with seismic rupture characteristics. This study develops a methodology that integrates historical earthquake records, numerical modelling and statistical analysis to derive a tsunami-occurrence criterion, expressed as a binary labelling threshold for identifying whether an earthquake generates a tsunami. As part of this methodology, a global simulation-based database (TSUSY Database) was constructed using earthquake focal mechanism data from the USGS database and validated against tsunami records from the NOAA catalogue, covering events from 1976 to 2023. Through numerical simulations, maximum wave heights were estimated for each event and used to define thresholds that label earthquakes as tsunamigenic or non-tsunamigenic, with the aim of balancing missed events and unnecessary alerts. By providing a simulation-based criterion for tsunami occurrence, the methodology supports the development of decision tools for real-time tsunami assessment and has been incorporated into an operational tsunami decision-support system that can assist Tsunami Warning Centres in their warning procedures.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Natural Hazards and Earth System Sciences.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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David Galán-Pérez, Iñigo Aniel-Quiroga, Albert Gallego, Ignacio Aguirre-Ayerbe, Mauricio González, Omar Quetzalcóatl, Jose Antonio Álvarez-Gómez, and Luis Pedraz

Status: open (until 19 Mar 2026)

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

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Short summary
Tsunamis can have devastating consequences, yet identifying which earthquakes generate them remains challenging. This study presents a global database of tsunami simulations covering historical earthquakes and introduces a numerical simulation-based criterion to identify tsunamigenic events. By comparing results with historical records, the approach improves tsunami identification and can support more reliable and timely tsunami warning decisions worldwide.
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