Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 9
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

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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.
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