Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 13
Articles | Volume 18, issue 13
https://doi.org/10.5194/gmd-18-4023-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-18-4023-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 13
Development and technical paper
 | 
02 Jul 2025
Development and technical paper |  | 02 Jul 2025

Anisotropic metric-based mesh adaptation for ice flow modelling in Firedrake

Davor Dundovic, Joseph G. Wallwork, Stephan C. Kramer, Fabien Gillet-Chaulet, Regine Hock, and Matthew D. Piggott

Viewed

Total article views: 3,973 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,931 851 191 3,973 78 138
  • HTML: 2,931
  • PDF: 851
  • XML: 191
  • Total: 3,973
  • BibTeX: 78
  • EndNote: 138
Views and downloads (calculated since 08 Oct 2024)
Cumulative views and downloads (calculated since 08 Oct 2024)

Viewed (geographical distribution)

Total article views: 3,973 (including HTML, PDF, and XML) Thereof 3,937 with geography defined and 36 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Mar 2026
Download
Short summary
Accurate numerical studies of glaciers often require high-resolution simulations, which often prove too demanding even for modern computers. In this paper we develop a method that identifies whether different parts of a glacier require high or low resolution based on its physical features, such as its thickness and velocity. We show that by doing so we can achieve a more optimal simulation accuracy for the available computing resources compared to uniform-resolution simulations.
Read more
Share
Special issue
The Firedrake automatic code generation system