Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-977-2023
https://doi.org/10.5194/gmd-16-977-2023
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

Viewed

Total article views: 3,848 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,670 1,102 76 3,848 80 64
  • HTML: 2,670
  • PDF: 1,102
  • XML: 76
  • Total: 3,848
  • BibTeX: 80
  • EndNote: 64
Views and downloads (calculated since 08 Sep 2022)
Cumulative views and downloads (calculated since 08 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,848 (including HTML, PDF, and XML) Thereof 3,694 with geography defined and 154 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Jan 2025
Download
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.