Articles | Volume 19, issue 8
https://doi.org/10.5194/gmd-19-3075-2026
https://doi.org/10.5194/gmd-19-3075-2026
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

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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.
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