Landslide-Tsurrogate v1.0: a computationally efficient  framework for probabilistic tsunami hazard assessment  applied to Mayotte (France)

Denamiel, Cléa; Marboeuf, Alexis; Mangeney, Anne; Le Friant, Anne; Peruzzetto, Marc; Lucas, Antoine; Castro Díaz, Manuel J.; Fernández-Nieto, Enrique

doi:10.5194/gmd-19-3075-2026

Articles | Volume 19, issue 8

https://doi.org/10.5194/gmd-19-3075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-3075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 8

Model description paper

|

21 Apr 2026

Model description paper |

| 21 Apr 2026

Landslide-Tsurrogate v1.0: a computationally efficient framework for probabilistic tsunami hazard assessment applied to Mayotte (France)

Cléa Denamiel, Alexis Marboeuf, Anne Mangeney, Anne Le Friant, Marc Peruzzetto, Antoine Lucas, Manuel J. Castro Díaz, and Enrique Fernández-Nieto

Data sets

Landslide-Tsurrogate v1.0 Clea Denamiel https://doi.org/10.5281/zenodo.19386796

Model code and software

Landslide-Tsurrogate v1.0 Clea Denamiel https://doi.org/10.5281/zenodo.19386796

Interactive computing environment

Landslide-Tsurrogate v1.0 Clea Denamiel https://doi.org/10.5281/zenodo.19386796

Short summary

Landslide-Tsurrogate v1.0 is an open-source Python/MATLAB tool that create surrogate models that replace costly numerical simulations. These models estimate tsunami hazards from submarine landslides in a few seconds. Based on polynomial chaos expansions, they also enable sensitivity analyses, fast probabilistic results, and user-friendly visualization. Tested in Mayotte, Landslide-Tsurrogate v1.0 can be applied to any coastal region.