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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 May 2026
Model description paper |
| 13 May 2026
| 13 May 2026
SWEpy: an open-source GPU-accelerated solver for near-field inundation and far-field tsunami modeling
Juan Fuenzalida
Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaiso, Chile
Danilo Kusanovic
Department of Civil and Environmental Engineering, University of California Davis, Davis, CA, 95616, USA
Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaiso, Chile
Rodrigo Meneses
Escuela de Ingenieria Civil, Universidad de Valparaiso, Valparaiso, Chile
Patricio A. Catalán
Departamento de Obras Civiles, Universidad Técnica Federico Santa María, Valparaiso, Chile
Related authors
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Joaquin Meza and M. Levent Kavvas
EGUsphere, https://doi.org/10.31223/X5ND5B, https://doi.org/10.31223/X5ND5B, 2024
Preprint archived
Short summary
Short summary
Our study develops a new model to study groundwater flow under uncertainty, using mathematical techniques to improve accuracy and efficiency. This approach allows for better management of water resources, particularly in drought-prone areas, by providing more reliable groundwater availability and movement estimations. This research combines traditional techniques with innovative methods to address water scarcity and support sustainable water use.
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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.
This study presents an open-source Python solver that uses graphics processing units to simulate...
