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

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-644', Juan V. Cantavella Nadal, 05 Mar 2026
    • AC1: 'Reply on RC1', David Galán Pérez, 09 Apr 2026
  • RC2: 'Comment on egusphere-2026-644', Anonymous Referee #2, 12 Apr 2026
    • AC2: 'Reply on RC2', David Galán Pérez, 13 Apr 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to minor revisions (review by editor) (13 Apr 2026) by Ira Didenkulova
AR by David Galán Pérez on behalf of the Authors (15 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Apr 2026) by Ira Didenkulova
AR by David Galán Pérez on behalf of the Authors (06 May 2026)  Manuscript 
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