The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/tc-17-4241-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4241-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Research article
 | 
06 Oct 2023
Research article |  | 06 Oct 2023

A framework for time-dependent ice sheet uncertainty quantification, applied to three West Antarctic ice streams

Beatriz Recinos, Daniel Goldberg, James R. Maddison, and Joe Todd

Viewed

Total article views: 5,365 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,490 1,742 133 5,365 137 205
  • HTML: 3,490
  • PDF: 1,742
  • XML: 133
  • Total: 5,365
  • BibTeX: 137
  • EndNote: 205
Views and downloads (calculated since 03 Mar 2023)
Cumulative views and downloads (calculated since 03 Mar 2023)

Viewed (geographical distribution)

Total article views: 5,365 (including HTML, PDF, and XML) Thereof 5,195 with geography defined and 170 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 08 May 2026
Download
Short summary
Ice sheet models generate forecasts of ice sheet mass loss, a significant contributor to sea level rise; thus, capturing the complete range of possible projections of mass loss is of critical societal importance. Here we add to data assimilation techniques commonly used in ice sheet modelling (a Bayesian inference approach) and fully characterize calibration uncertainty. We successfully propagate this type of error onto sea level rise projections of three ice streams in West Antarctica.
Read more
Share