Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 9
Articles | Volume 14, issue 9
https://doi.org/10.5194/gmd-14-5843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 9
Model description paper
 | 
24 Sep 2021
Model description paper |  | 24 Sep 2021

fenics_ice 1.0: a framework for quantifying initialization uncertainty for time-dependent ice sheet models

Conrad P. Koziol, Joe A. Todd, Daniel N. Goldberg, and James R. Maddison

Viewed

Total article views: 4,529 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,333 1,093 103 4,529 106 159
  • HTML: 3,333
  • PDF: 1,093
  • XML: 103
  • Total: 4,529
  • BibTeX: 106
  • EndNote: 159
Views and downloads (calculated since 29 Mar 2021)
Cumulative views and downloads (calculated since 29 Mar 2021)

Viewed (geographical distribution)

Total article views: 4,529 (including HTML, PDF, and XML) Thereof 4,265 with geography defined and 264 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
Sea level change due to the loss of ice sheets presents great risk for coastal communities. Models are used to forecast ice loss, but their evolution depends strongly on properties which are hidden from observation and must be inferred from satellite observations. Common methods for doing so do not allow for quantification of the uncertainty inherent or how it will affect forecasts. We provide a framework for quantifying how this initialization uncertainty affects ice loss forecasts.
Read more
Share