Seismic generated tsunamis


Scenarios - Studies

Estrada, F., González-Vida, J.M., Peláez, J.A., Galíndo-Zaldívar, J., Ortega, S., Macías, J., Vázquez, J.T. and Ercilla, G. (2021). Tsunami generation potential of a strike-slip fault tip in the westernmost Mediterranean. Scientific Reports, 11,  16253. [doi: 10.1038/s41598-021-95729-6].

Martínez-Loriente, S., Sallarès, V. and Gràcia, E. (2021). The Horseshoe Abyssal plain Thrust could be the source of the 1755 Lisbon earthquake and tsunami. Commun Earth Environ 2, 145. [doi: 10.1038/s43247-021-00216-5].

Basili, R. et al. (2021). The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18).  Frontiers in Earth Science - Geohazards and Georisks. [doi: 10.3389/feart.2020.616594].

Tonini, R. et al. (2021). Testing inundation maps for evacuation planning in Italy. Frontiers in Earth Science - Geohazards and Georisks. [doi: 10.3389/feart.2021.628061].

Zamora, N., Catalán, P.A., Gubler, A. and Carvajal M. (2021). Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times. Frontiers in Earth Science, 8:747 [doi: 10.3389/feart.2020.591514].

Gibbons, S., Lorito, S., Macías, J., Løvholt, F., Selva, J., Volpe, M., Sánchez-Linares, C., Babeyko, A., Brizuela, B., Cirella, A., Castro, M.J., de la Asunción, M., Lanucara, P., Glimsdal, S., Lorenzino, M.C., Nazaria, M., Pizzimenti, L., Romano, F., Scala, A., Tonini, R., González-Vida, J.M., and Vöge, M. (2020). Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Inundation Simulations, Front. Earth Sci. - Geohazards and Georisks, 11 December 2020, [doi: 10.3389/feart.2020.591549].

Tonini, R., Basili, R., Maesano, F.E., Tiberti, M.M., Lorito, S., Romano, F., Scala, A., Volpe,  M. (2020) Importance of earthquake rupture geometry on tsunami modelling: the Calabrian Arc subduction interface (Italy) case study, Geophysical Journal International, 223(3):1805–1819, [doi: 10.1093/gji/ggaa409].

Lovholt, F., Lorito, S., Macías, J., Volpe, M., Selva, J., and Gibbons, 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. [https://doi.org/10.1111/sed.12662].

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, [https://doi.org/10.1007/s00024-019-02091-w].

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

Ajmar, A.; Annunziato, A.; Boccardo, P.; Giulio Tonolo, F.; Wania, A. (2019). Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities. Geosciences, 9, 314. [https://doi.org/10.3390/geosciences9070314].

López-Venegas, A. M., Chacón-Barrantes, S.., Zamora, N., and Macías, J. (2018), Nations work together to size up Caribbean tsunami hazards, Eos, 99, https://doi.org/10.1029/2018EO105609. 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. [http://dx.doi.org/10.1038/srep35007].

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].

 


Benchmarking

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. 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]

J. Macías. Presentation to the MMS/NTHMP of "Performance Benchmarking of Tsunami-HySEA for NTHMP’s Inundation Mapping Activities", 30 January 2017. [doi: 10.13140/RG.2.2.10373.37606]

Macías, J., Castro, M.J., Ortega, S., Escalante, C., González-Vida, J.M. (2015). Tsunami currents benchmarking results for Tsunami-HySEA. Report sent to the 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: http://coastal.usc.edu/currents_workshop/presentations/Macias.pdf (accessed on 30 July 2021).


 

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:/hdl.handle.net/2445/68704].


Benchmarking

Macías, J., Escalante, C., and Castro, M. J. (2021). Multilayer-HySEA model validation for landslide generated tsunamis. Part I Rigid slides, Nat. Hazards Earth Syst. Sci., 21, 775-789 , [doi: 10.5194/nhess-21-775-2021].

Macías, J., Escalante, C., and Castro, M. J. (2021). Multilayer-HySEA model validation for landslide generated tsunamis. Part II Granular slides, Nat. Hazards Earth Syst. Sci., 21, 791-805 , [doi: 10.5194/nhess-21-791-2021].

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].