Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/gmd-18-3405-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-3405-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Model description paper
 | 
13 Jun 2025
Model description paper |  | 13 Jun 2025

Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes

Davi Mignac, Jennifer Waters, Daniel J. Lea, Matthew J. Martin, James While, Anthony T. Weaver, Arthur Vidard, Catherine Guiavarc'h, Dave Storkey, David Ford, Edward W. Blockley, Jonathan Baker, Keith Haines, Martin R. Price, Michael J. Bell, and Richard Renshaw

Viewed

Total article views: 2,772 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,459 188 125 2,772 111 86 125
  • HTML: 2,459
  • PDF: 188
  • XML: 125
  • Total: 2,772
  • Supplement: 111
  • BibTeX: 86
  • EndNote: 125
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads (calculated since 14 Oct 2024)

Viewed (geographical distribution)

Total article views: 2,772 (including HTML, PDF, and XML) Thereof 2,716 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
We describe major improvements of the Met Office's global ocean–sea ice forecasting system. The models and the way observations are used to improve the forecasts were changed, which led to a significant error reduction of 1 d forecasts. The new system performance in past conditions, where subsurface observations are scarce, was improved with more consistent ocean heat content estimates. The new system will be of better use for climate studies and will provide improved forecasts for end users.
Read more
Share