The Cryosphere
The Cryosphere
TC
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/tc-15-2429-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2429-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
Research article
 | Highlight paper
 | 
04 Jun 2021
Research article | Highlight paper |  | 04 Jun 2021

Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover

Robbie D. C. Mallett, Julienne C. Stroeve, Michel Tsamados, Jack C. Landy, Rosemary Willatt, Vishnu Nandan, and Glen E. Liston

Viewed

Total article views: 11,590 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
9,704 1,739 147 11,590 658 198 227
  • HTML: 9,704
  • PDF: 1,739
  • XML: 147
  • Total: 11,590
  • Supplement: 658
  • BibTeX: 198
  • EndNote: 227
Views and downloads (calculated since 28 Oct 2020)
Cumulative views and downloads (calculated since 28 Oct 2020)

Viewed (geographical distribution)

Total article views: 11,590 (including HTML, PDF, and XML) Thereof 11,133 with geography defined and 457 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Nov 2025
Download
Short summary
We re-estimate pan-Arctic sea ice thickness (SIT) values by combining data from the Envisat and CryoSat-2 missions with data from a new, reanalysis-driven snow model. Because a decreasing amount of ice is being hidden below the waterline by the weight of overlying snow, we argue that SIT may be declining faster than previously calculated in some regions. Because the snow product varies from year to year, our new SIT calculations also display much more year-to-year variability.
Read more
Share