Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-977-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-977-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Model description paper
 | 
08 Feb 2023
Model description paper |  | 08 Feb 2023

SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian

Data sets

SERGHEI test cases repository Daniel Caviedes-Voullième, Mario Morales-Hernández, and Ilhan Özgen-Xian https://gitlab.com/serghei-model/serghei_testcases

SERGHEI test cases - static with DOI Daniel Caviedes-Voullième, Mario Morales-Hernández, and Ilhan Özgen-Xian https://doi.org/10.5281/zenodo.7041392

Model code and software

SERGHEI code repository Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian https://gitlab.com/serghei-model/serghei

SERGHEI code - static v1.0 with DOI Daniel Caviedes-Voullième, Mario Morales-Hernández, and Ilhan Özgen-Xian https://doi.org/10.5281/zenodo.7041423

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Short summary
This paper introduces the SERGHEI framework and a solver for shallow-water problems. Such models, often used for surface flow and flood modelling, are computationally intense. In recent years the trends to increase computational power have changed, requiring models to adapt to new hardware and new software paradigms. SERGHEI addresses these challenges, allowing surface flow simulation to be enabled on the newest and upcoming consumer hardware and supercomputers very efficiently.
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