The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5365-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-5365-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
21 Nov 2024
Research article |  | 21 Nov 2024

Bounded and categorized: targeting data assimilation for sea ice fractional coverage and nonnegative quantities in a single-column multi-category sea ice model

Molly M. Wieringa, Christopher Riedel, Jeffrey L. Anderson, and Cecilia M. Bitz

Viewed

Total article views: 827 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
609 168 50 827 34 28
  • HTML: 609
  • PDF: 168
  • XML: 50
  • Total: 827
  • BibTeX: 34
  • EndNote: 28
Views and downloads (calculated since 15 Sep 2023)
Cumulative views and downloads (calculated since 15 Sep 2023)

Viewed (geographical distribution)

Total article views: 827 (including HTML, PDF, and XML) Thereof 817 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
Statistically combining models and observations with data assimilation (DA) can improve sea ice forecasts but must address several challenges, including irregularity in ice thickness and coverage over the ocean. Using a sea ice column model, we show that novel, bounds-aware DA methods outperform traditional methods for sea ice. Additionally, thickness observations at sub-grid scales improve modeled ice estimates of both thick and thin ice, a finding relevant for forecasting applications.
Read more