<span style="" class="text typewriter">SWEpy</span>: an open-source GPU-accelerated solver for near-field inundation and far-field tsunami modeling

Fuenzalida, Juan; Kusanovic, Danilo; Meza, Joaquín; Meneses, Rodrigo; Catalán, Patricio A.

doi:10.5194/gmd-19-3953-2026

Articles | Volume 19, issue 9

https://doi.org/10.5194/gmd-19-3953-2026

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

https://doi.org/10.5194/gmd-19-3953-2026

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

Articles | Volume 19, issue 9

Model description paper

|

13 May 2026

Model description paper |

| 13 May 2026

SWEpy: an open-source GPU-accelerated solver for near-field inundation and far-field tsunami modeling

Juan Fuenzalida, Danilo Kusanovic, Joaquín Meza, Rodrigo Meneses, and Patricio A. Catalán

Supplement

https://doi.org/10.5194/gmd-19-3953-2026-supplement

Data sets

SWEpy Danilo Smiljan Kusanovic Juan, Fuenzalida Meza, Joaquín Meneses, Rodrigo3 Catalan, Patricio https://doi.org/10.5281/zenodo.19464287

Model code and software

SWEpy Danilo Smiljan Kusanovic et al. https://doi.org/10.5281/zenodo.16789889

Video supplement

Animations of Malpasset and Maule simulations using SWEpy J. A. Fuenzalida Alarcón https://doi.org/10.5281/zenodo.16798435

Short summary

This study presents an open-source Python solver that uses graphics processing units to simulate shallow water flows in floods and tsunamis without costly hardware or complex code. We refined numerical methods to reduce wave-spread errors and validated them on standard cases and real events, including a French dam break and a Chilean earthquake tsunami. The solver effectively reproduces wave heights and speeds, potentially enhancing early warnings in flood-prone areas.