Ocean Science
Ocean Science
OS
Articles | Volume 19, issue 5
Articles | Volume 19, issue 5
https://doi.org/10.5194/os-19-1375-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-19-1375-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 5
Research article
 | 
15 Sep 2023
Research article |  | 15 Sep 2023

Bivariate sea-ice assimilation for global-ocean analysis–reanalysis

Andrea Cipollone, Deep Sankar Banerjee, Doroteaciro Iovino, Ali Aydogdu, and Simona Masina

Viewed

Total article views: 2,004 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,525 387 92 2,004 72 87 100
  • HTML: 1,525
  • PDF: 387
  • XML: 92
  • Total: 2,004
  • Supplement: 72
  • BibTeX: 87
  • EndNote: 100
Views and downloads (calculated since 22 Feb 2023)
Cumulative views and downloads (calculated since 22 Feb 2023)

Viewed (geographical distribution)

Total article views: 2,004 (including HTML, PDF, and XML) Thereof 1,944 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Oct 2025
Download
Short summary
Sea-ice volume is characterized by low predictability compared to the sea ice area or the extent. A joint initialization of the thickness and concentration using satellite data could improve the predictive power, although it is still absent in the present global analysis–reanalysis systems. This study shows a scheme to correct the two features together that can be easily extended to include ocean variables. The impact of such a joint initialization is shown and compared among different set-ups.
Read more
Share
Special issue
Data assimilation techniques and applications in coastal and...