The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 2
Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-853-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-853-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 2
Research article
 | 
03 Feb 2026
Research article |  | 03 Feb 2026

Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS

Nicholas Williams, Yiguo Wang, and François Counillon

Viewed

Total article views: 4,279 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,444 664 171 4,279 260 219 273
  • HTML: 3,444
  • PDF: 664
  • XML: 171
  • Total: 4,279
  • Supplement: 260
  • BibTeX: 219
  • EndNote: 273
Views and downloads (calculated since 11 Feb 2025)
Cumulative views and downloads (calculated since 11 Feb 2025)

Viewed (geographical distribution)

Total article views: 4,279 (including HTML, PDF, and XML) Thereof 4,191 with geography defined and 88 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 25 Jun 2026
Download
Short summary
We assimilate satellite observations of Arctic sea ice thickness to create a skillful initial sea ice state, assimilating ENVISAT-derived sea ice thickness for the first time. We produce a reanalysis and seasonal hindcasts showing that sea ice thickness and volume estimates are significantly improved in both reanalysis and prediction. Predictions of summer sea ice extent in our model are also substantially improved by reducing the high sea ice thickness bias.
Read more
Share