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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Feb 2023
Model description paper |
| 08 Feb 2023
| 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
CORRESPONDING AUTHOR
Simulation and Data Lab Terrestrial Systems, Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany
Institute of Bio- and Geosciences: Agrosphere (IBG-3), Forschungszentrum Jülich, Germany
Mario Morales-Hernández
Fluid Mechanics, I3A, Universidad de Zaragoza, Zaragoza, Spain
Oak Ridge National Laboratory, Oak Ridge, USA
Matthew R. Norman
Oak Ridge National Laboratory, Oak Ridge, USA
Ilhan Özgen-Xian
Institute of Geoecology, Technische Universität Braunschweig, Braunschweig, Germany
Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, USA
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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.
This paper introduces the SERGHEI framework and a solver for shallow-water problems. Such...
