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.
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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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.
CIGIDEN: A seis años del 27F: destacan las lecciones aprendidas tras la tragedia, https://www.cigiden.cl/a-seis-anos-del-27-f-destacan-las-lecciones-aprendidas-tras-la-tragedia/ (last access: 11 May 2026), 2016.
Daskalaki, E., Aguirre Ayerbe, I., Baptista, M. A., Amato, A., Cambaz, M. D., Charalampakis, M., Cugliari, L., El-Gharabawy, S. M., Hamouda, A., Hebert, H., Kalligeris, N., Cantavella Nadal, J. V., Meral Özel, N., Péroche, M., and Yalciner, A. C.: Recent Developments in Tsunami Preparedness in the Northeast Atlantic and Mediterranean Region: Challenges, Strengths, and Weaknesses , EGU General Assembly 2025, Vienna, Austria, 27 April–2 May 2025, EGU25-16032, https://doi.org/10.5194/egusphere-egu25-16032, 2025.
Dziewonski, A. M., Chou, T. -A., and Woodhouse, J. H.: Determination of earthquake source parameters from waveform data for studies of global and regional seismicity, J. Geophys. Res.-Sol. Ea., 86, 2825–2852, https://doi.org/10.1029/JB086iB04p02825, 1981.
Echave-Lezcano, J.: Elaboración de la metodología y base de datos numérica de tsunamis para el Sistema de Alerta de Tsunamis español, MS thesis, Universidad de Cantabria, Spain, 2016.
Ekström, G., Nettles, M., and Dziewoński, A. M.: The global CMT project 2004–2010: Centroid-moment tensors for 13 017 earthquakes, Phys. Earth Planet. In., 200–201, 1–9, https://doi.org/10.1016/j.pepi.2012.04.002, 2012.
Gallego Jiménez, A.: TsunamiClassifier, GitHub [code], https://github.com/AlbertGallegoJimenez/TsunamiClassifier (last access: 11 May 2026), 2025.
GEBCO Bathymetric Compilation Group 2023: The GEBCO_2023 Grid – a continuous terrain model of the global oceans and land, NERC EDS British Oceanographic Data Centre NOC [data set], https://doi.org/10.5285/f98b053b-0cbc-6c23-e053-6c86abc0af7b, 2023.
Generalitat Valenciana: La Generalitat ha activat aquest matí el Pla Territorial d'Emergències de la Comunitat Valenciana per avís del Ministeri de l'Interior de risc de tsunami, https://comunica.gva.es/va/detalle?id=359855854&site=174860102 (last access: 11 May 2026), 2015.
Harig, S., Immerz, A., Weniza, Griffin, J., Weber, B., Babeyko, A., Rakowsky, N., Hartanto, D., Nurokhim, A., Handayani, T., and Weber, R.: The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches, Pure Appl. Geophys., 177, 1379–1401, https://doi.org/10.1007/s00024-019-02305-1, 2020.
Igarashi, Y., Ueno, T., Nakata, K., Hernandez-Grennan, V. C., Cruz-Salcedo, J. L., Narag, I. C., Bautista, B. C., and Koizumi, T.: Building a Tsunami Simulation Database for the Tsunami Warning System in the Philippines, Journal of Disaster Research, 10, 51–58, https://doi.org/10.20965/jdr.2015.p0051, 2015.
Indian National Centre for Ocean Information Services (INCOIS): Standard Operating Procedure for the Indian Tsunami Early Warning Centre (ITEWC), INCOIS, Hyderabad, India, https://incois.gov.in (last access: 11 May 2026), 2011.
Instituto Geográfico Nacional (IGN) and Dirección General de Protección Civil y Emergencias: Plan Estatal de Protección Civil ante el riesgo de maremotos. Edición comentada, Centro Nacional de Información Geográfica and Ministerio del Interior – Centro de Publicaciones, Madrid, Spain, https://doi.org/10.7419/162.02.2022, 2021.
Intergovernmental Oceanographic Commission (IOC): Tsunami Glossary, 2013, Revised Edition 2013, IOC Technical Series, 85, UNESCO, Paris (IOC/2008/TS/85rev), 2013.
Japan Meteorological Agency: Tsunami Warnings/Advisories, https://www.data.jma.go.jp/eqev/data/en/guide/tsunamiinfo.html (last access: 11 May 2026), 2025.
Kanamori, H.: The energy release in great earthquakes, J. Geophys. Res., 82, 2981–2987, https://doi.org/10.1029/JB082i020p02981, 1977.
Løvholt, F., Kaiser, G., Glimsdal, S., Scheele, L., Harbitz, C. B., and Pedersen, G.: Modeling propagation and inundation of the 11 March 2011 Tohoku tsunami, Nat. Hazards Earth Syst. Sci., 12, 1017–1028, https://doi.org/10.5194/nhess-12-1017-2012, 2012.
Macías, J., Castro, M. J., Ortega, S., Escalante, C., and González-Vida, J. M.: Performance Benchmarking of Tsunami-HySEA Model for NTHMP's Inundation Mapping Activities, Pure Appl. Geophys., 174, 3147–3183, https://doi.org/10.1007/s00024-017-1583-1, 2017.
Macías, J., Castro, M. J., Ortega, S., and González-Vida, J. M.: Performance assessment of Tsunami-HySEA model for NTHMP tsunami currents benchmarking. Field cases, Ocean Model., 152, 101645, https://doi.org/10.1016/j.ocemod.2020.101645, 2020.
Macías-Sánchez, J., Castro-Díaz, M. J., González-Vida, J. M., De la Asunción, M., and Ortega, S.: HySEA: An operational GPU-based model for Tsunami Early Warning Systems, in: Geophysical Research Abstracts, EGU General Assembly 2014, Vienna, Austria, 27 April–2 May 2014, EGU2014-14217, http://hdl.handle.net/10630/7489 (last access: 11 May 2026), 2014.
MarCom Working Group 122: Tsunami disasters in ports due to the Great East Japan Earthquake, PIANC report, Brussels, 1–138 pp., ISBN 978-2-87223-211-6, 2014.
National Geophysical Data Center/World Data Service: NCEI/WDS Global Historical Tsunami Database, NOAA National Centers for Environmental Information, https://doi.org/10.7289/V5PN93H7, 2024.
National Oceanic and Atmospheric Administration (NOAA) and National Weather Service (NWS): User's Guide for the Tsunami Warning System in the U.S. National Tsunami Warning Center Area-of-Responsibility, NOAA/NWS/NTWC, Palmer, Alaska, USA, Version 6.7, http://tsunami.gov (last access: 11 May 2026), 2017.
Necmioğlu, Ö., Turhan, F., Özer Sözdinler, C., Yılmazer, M., Güneş, Y., Cambaz, M. D., Altuncu Poyraz, S., Ergün, T., Kalafat, D., and Özener, H.: KOERI's Tsunami Warning System in the Eastern Mediterranean and Its Connected Seas: A Decade of Achievements and Challenges, Appl. Sci., 11, 11247, https://doi.org/10.3390/app112311247, 2021.
Okada, Y.: Surface deformation due to shear and tensile faults in a half-space, B. Seismol. Soc. Am., 75, 1135–1154, https://doi.org/10.1785/BSSA0750041135, 1985.
Papadopoulos, G. and Imamura, F.: A proposal for a new tsunami intensity scale. International Tsunami Symposium 2001 Proceedings, Seattle, Washington, USA, 7–10 August 2001, 569–577, 2001.
Reuters: Tribunal chileno acoge salida extrajudicial para imputados en fallida alerta de tsunami, Reuters, https://www.reuters.com/article/world/americas/tribunal-chileno-acoge-salida-extrajudicial-para-imputados-en-fallida-alerta-de-idUSKCN0X42BV/ (last access: 11 May 2026), 2016.
Röbke, B. R. and Vött, A.: The tsunami phenomenon, Prog. Oceanogr., 159, 296–322, https://doi.org/10.1016/j.pocean.2017.09.003, 2017.
Roudil, P., Schindelé, F., Bossu, R., Alabrune, N., Arnoul, P., Duperray, P., Gailler, A., Guilbert, J., Hébert, H., and Loevenbruck, A.: The French tsunami warning center for the Mediterranean and Northeast Atlantic: CENALT, Science of Tsunami Hazards, 32, 1–7, Tsunami Society International, 2013.
Satake, K.: Advances in earthquake and tsunami sciences and disaster risk reduction since the 2004 Indian ocean tsunami, Geosci. Lett., 1, 15, https://doi.org/10.1186/s40562-014-0015-7, 2014.
Selva, J., Lorito, S., Volpe, M., Romano, F., Tonini, R., Perfetti, P., Bernardi, F., Taroni, M., Scala, A., Babeyko, A., Løvholt, F., Gibbons, S. J., Macías, J., Castro, M. J., González-Vida, J. M., Sánchez-Linares, C., Bayraktar, H. B., Basili, R., Maesano, F. E., Tiberti, M. M., Mele, F., Piatanesi, A., and Amato, A.: Probabilistic tsunami forecasting for early warning, Nat. Commun., 12, 5677, https://doi.org/10.1038/s41467-021-25815-w, 2021.
Servicio Hidrográfico y Oceanográfico de la Armada de Chile (SHOA): Guía de Referencia Sistema Nacional de Alarma de Maremotos, 3rd edn., SHOA, Valparaíso, Chile, https://www.shoa.cl/ (last access: 11 May 2026), 2023 (updated 2025).
Soulé, B.: Post-crisis analysis of an ineffective tsunami alert: the 2010 earthquake in Maule, Chile, Disasters, 38, 375–397, https://doi.org/10.1111/disa.12045, 2014.
Synolakis, C. E. and Bernard, E. N.: Tsunami science before and beyond Boxing Day 2004, Philos. T. Roy. Soc. A, 364, 2231–2265, https://doi.org/10.1098/rsta.2006.1824, 2006.
Tinti, S., Graziani, L., Brizuela, B., Maramai, A., and Gallazzi, S.: Applicability of the Decision Matrix of North Eastern Atlantic, Mediterranean and connected seas Tsunami Warning System to the Italian tsunamis, Nat. Hazards Earth Syst. Sci., 12, 843–857, https://doi.org/10.5194/nhess-12-843-2012, 2012.
Tsunami Inundation Database Portal: https://www.risksciences.ucla.edu/nhr3/tsunami-portal, last access: 7 August 2024.
U.S. Geological Survey: Earthquake Hazards Program, 2017, Advanced National Seismic System (ANSS) Comprehensive Catalog of Earthquake Events and Products: Various, https://earthquake.usgs.gov/earthquakes/search/ (last access: 11 May 2026), 2017.
Wang, X. and Liu, P. L.-F.: Numerical simulations of the 2004 Indian Ocean tsunamis-coastal effects, J. Earthq. Tsunami, 1, 273–297, https://doi.org/10.1142/S179343110700016X, 2007.
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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