Seismic generated tsunamis

Scenarios - Studies


Lovholt, F., Lorito, S., Macías, J., Volpe, M., Selva, J., and Gibson, S. (2019) Urgent tsunami computing", in 2019 IEEE/ACM HPC for Urgent DEcision Making (UrgentHPC), Denver, CO, USA, pp. 45-50, [doi: 10.1109/UrgentHPC49580.2019.00011].

Lario, J., Spencer, C., Bardají, T., Marchante, A., Garduño-Monroy, V.H., Macías, J. and Ortega, S. (2019) An extreme wave event in eastern Yucatán, Mexico: Evidence of a paleotsunami event during the Mayan times. Sedimentology, 2019. [].

Glimsdal, S., Løvholt, F., Harbitz, C.B. et al. (2019). A new approximate method for quantifying tsunami maximum inundation height probability. Pure and Applied Geophysics, [].

López-Venegas, A. M., Chacón-Barrantes, S.., Zamora, N., and Macías, J. (2018), Nations work together to size up Caribbean tsunami hazards, Eos, 99, Published on 04 October 2018.

Macías, J., Mercado, A., González-Vida, J.M., Ortega, S., and Castro, M.J. (2016). Comparison and numerical performance of Tsunami-HySEA and MOST models for LANTEX 2013 scenario. Impact assessment on Puerto Rico coasts. Pure and Applied Geophysics, 173(12), 3973–3997. [doi:10.1007/s00024-016-1387-8].

Murphy, S., Scala, A., Herrero, A., Lorito, S., Festa, G., Trasatti, E., Tonini, R., Romano, F., Molinari, and I., Nielsen, S. (2016). Shallow slip amplification and enhanced tsunami hazard unravelled by dynamic simulations of mega-thrust earthquakes. Scientific Reports, 6. [].

Molinari, I., Tonini, R., Piatanessi, A., Lorito, S., Romano, F., Melini, D., González-Vida, J.M., Macías, J., Castro, M.J., and de la Asunción, M. (2016). Fast evaluation of tsunami scenarios: uncertainty assessment for a Mediterranean Sea database. Natural Hazards and Earth Systems Sciences, 16:2593-2602, [doi:10.5194/nhess-16-2593-2016].

Sánchez-Linares, C., Castro, M.J., de la Asunción, M., González-Vida, J.M., Macías, J., and Mishra, S. (2016). Uncertainty quantification in tsunami modeling using Monte-Carlo finite volume method. Journal of Mathematics in Industry, 6:5, 26pp, [doi: 10.1186/s13362-016-0022-8].

Selva, J., Tonini, R., Molinari, I., Tiberti, M.M., Romano, F., Grezio, A., Melini, D., Piatanesi, A., Basili, R., Lorito, S. (2016). Quantification of source uncertainties in Seismic Probabilistic Tsunami Hazard Analysis (SPTHA). Geophysical Journal International, 205 (3): 1780-1803. [doi: 10.1093/gji/ggw107].

Pitilakis, K.D., Argyroudis, S.A., Fotopoulou, S.D., Karafagka, S.V., Kakderi, K.G., and Selva, J. (2016). Risk assessment of critical facilities to moderate and extreme seismic events including tsunami. The case of the harbor of Thessaloniki. 1st International Conference on Natural Hazards & Infrastructure, 28-30 June, 2016, Chania, Greece. [pdf].

Volpe, M., Lorito, S., Selva, J., Tonini, R., Romano, F., and Brizuela, B.: From regional to local SPTHA: efficient computation of probabilistic tsunami inundation maps addressing near-field sources, Nat. Hazards Earth Syst. Sci., 19, 455-469, [doi: 10.5194/nhess-19-455-2019], 2019.

Intergovernmental Oceanographic Commission (2016). Sources of tsunamis in the Caribbean with  possibility  to  impact  the  southern  coast  of  the  Dominican  Republic, Santo  Domingo, Dominican  Republic,  6–7  May  2016.Paris,  UNESCO,  pp. 36.  English  and  Spanish.  (IOC Workshop Reports, 276; (IOC/2016/WR/276Rev.). [pdf]

Annunziato, A., Fonio, C., Mugnai, F., and Galliano, D. (2015). Tsunami Decision Support Systems. TDSS-2015. Outcomes of the 6th JRC ECML Crisis Management Technology Workshop. Publications Office of the European Union, JRC97488. [10.2788/079104 (print)], [10.2788/57013 (online)], [pdf].



Macías, J., Castro, M.J., Escalante, C. (2020). Performance assessment of Tsunami-HySEA model for NTHMP tsunami currents benchmarking. Laboratory data. Coastal Engineering, 158, 103667, ISSN 0378-3839, [doi: 10.1016/j.coastaleng.2020.103667].

Macías, J., Ortega, S., Castro, M.J., González-Vida, J.M. (2020). Performance assessment of Tsunami-HySEA model for NTHMP tsunami currents benchmarking. Field cases. Accepted in  Ocean Modelling, 152, 101645, ISSN 1463-5003, [doi: 10.1016/j.ocemod.2020.101645].

Macías, J., Castro, M.J., Ortega, S., Escalante, C., González-Vida, J.M. (2017). Performance benchmarking of Tsunami-HySEA model for NTHMP's inundation mapping activities. Pure and Applied Geophysics, 1-37. [doi: 10.1007/s00024-017-1583-1]

Lynett, P.J. et al. (2017). Inter-model analysis of tsunami-induced coastal currents. Ocean Modelling, 114: 14-32. [doi: 10.1016/j.ocemod.2017.04.003]

Macías, J., Castro, M.J., Ortega, S., Escalante, C., González-Vida, J.M. (2015). Tsunami currents benchmarking results for Tsunami-HySEA. Report submitted to NTHMP. [doi: 10.13140/RG.2.2.22999.47527].

Macías, J. (2015). HySEA model. Benchmark problems 1, 2 , 3, 4, and 5. NTHMP Mapping and Modeling Benchmarking Workshop: Tsunami Currents. Available online: (accessed on 19 December 2019).


Landslide generated tsunamis

Scenarios - Studies

González-Vida, J. M., Macías, J., Castro, M. J., Sánchez-Linares, C., de la Asunción, M., Ortega-Acosta, S., and Arcas, D. (2019). The Lituya Bay landslide-generated mega-tsunami. Numerical simulation and sensitivity analysis, Nat. Hazards Earth Syst. Sci., 19, 369-388, [doi: 10.5194/nhess-19-369-2019].

Macías, J., Vázquez, J.T., Fernández-Salas, L.M., González-Vida, J.M., Bárcenas, P., Castro, M.J., Díaz-del-Río, and V., Alonso, B. (2015). The Al-Boraní submarine landslide and associated tsunami. A modelling approach. Marine Geology, 361:79-95. [doi:10.1016/j.margeo.2014.12.006].

Iglesias, O. (2015). Generación y propagación de tsunamis en el mar Catalano-Balear. PhD Thesis. Universitat de Barcelona. [http:/].


Macías, J., Escalante, C., Castro, M.J. (2019). Multilayer-HySEA model validation for landslide generated tsunamis. Part I Rigid slides. In progress.

Macías, J., Escalante, C., Castro, M.J. (2019). Multilayer-HySEA model validation for landslide generated tsunamis. Part II Granular slides. In progress.

Macías, J. (2017). The Landslide-HySEA model benchmarking results. NTHMP Landslide Tsunami Model Benchmarking Workshop. [doi: 10.13140/RG.2.2.35873.81768].

Macías, J., Escalante, C., Castro, M.J., González-Vida, J.M., Ortega, S. (2017). HySEA model. Landslide Benchmarking Results. NTHMP report. [doi: 10.13140/RG.2.2.27081.60002].