The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 7
Articles | Volume 20, issue 7
https://doi.org/10.5194/tc-20-3913-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-3913-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 7
Research article
 | 
17 Jul 2026
Research article |  | 17 Jul 2026

Bayesian inversion of satellite altimetry for Arctic sea ice and snow thickness

Elie René-Bazin, Michel Tsamados, Sabrina Sofea Binti Aliff Raziuddin, Joel Perez Ferrer, Tudor Suciu, Carmen Nab, Chamkaur Ghag, Harry Heorton, Rosemary Willatt, Jack Landy, Matthew Fox, and Thomas Bodin

Viewed

Total article views: 9,494 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,405 1,792 297 9,494 762 317 381
  • HTML: 7,405
  • PDF: 1,792
  • XML: 297
  • Total: 9,494
  • Supplement: 762
  • BibTeX: 317
  • EndNote: 381
Views and downloads (calculated since 28 Apr 2025)
Cumulative views and downloads (calculated since 28 Apr 2025)

Viewed (geographical distribution)

Total article views: 9,494 (including HTML, PDF, and XML) Thereof 9,407 with geography defined and 87 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Oct 2026
Download
Short summary
This paper introduces a new statistical approach to retrieve ice and snow depth over the Arctic Ocean, using satellite altimeters measurements. We demonstrate the ability of this method to compute efficiently the sea ice thickness and the snow depth over the Arctic, without major assumptions on the snow. In addition to the ice and snow depth, this approach is efficient to study the penetration of radar and laser pulses, paving the way for further research in satellite altimetry.
Read more
Share