Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 8
Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2773-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2773-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 8
Research article
 | 
22 Aug 2024
Research article |  | 22 Aug 2024

Modelling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases

Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito

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Cited articles

Abbate, A.: abbalice/LST: LST (v0.0), Zenodo [data set and code], https://doi.org/10.5281/zenodo.10786626, 2024. a
Abrahams, L. S., Krenz, L., Dunham, E. M., Gabriel, A.-A., and Saito, T.: Comparison of methods for coupled earthquake and tsunami modelling, Geophys. J. Int., 234, 404–426, https://doi.org/10.1093/gji/ggad053, 2023. a
Becker, J., Sandwell, D., Smith, W., Braud, J., Binder, B., Depner, J., Fabre, D., Factor, J., Ingalls, S., Kim, S. H., Ladner, R., and Marks, K.: Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS, Mar. Geod., 32, 355–371, https://doi.org/10.1080/01490410903297766, 2009. a
Burkardt, J.: filon [code], https://people.sc.fsu.edu/~jburkardt/m_src/filon/filon.html (last access: 17 August 2024), 2014. a
Comer, R. P.: Tsunami generation: a comparison of traditional and normal mode approaches, Geophys. J. Int., 77, 29–41, https://doi.org/10.1111/j.1365-246X.1984.tb01924.x, 1984. a
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Modelling tsunami generation due to a rapid submarine earthquake is a complex problem. Under a variety of realistic conditions in a subduction zone, we propose and test an efficient solution to this problem: a tool that can compute the generation of any potential tsunami in any ocean in the world. In the future, we will explore solutions that would also allow us to model tsunami generation by slower (time-dependent) seafloor displacement.
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