Articles | Volume 18, issue 11
https://doi.org/10.5194/gmd-18-3405-2025
https://doi.org/10.5194/gmd-18-3405-2025
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: 2,891 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,543 214 134 2,891 126 90 130
  • HTML: 2,543
  • PDF: 214
  • XML: 134
  • Total: 2,891
  • Supplement: 126
  • BibTeX: 90
  • EndNote: 130
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads (calculated since 14 Oct 2024)

Viewed (geographical distribution)

Total article views: 2,891 (including HTML, PDF, and XML) Thereof 2,832 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Jan 2026
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.
Share