Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9451-2025
https://doi.org/10.5194/gmd-18-9451-2025
Development and technical paper
 | 
03 Dec 2025
Development and technical paper |  | 03 Dec 2025

Adjoint-based simultaneous state and parameter estimation in an Arctic Sea Ice-Ocean Model using MITgcm (c63m)

Guokun Lyu, Longjiang Mu, Armin Koehl, Ruibo Lei, Xi Liang, and Chuanyu Liu

Viewed

Total article views: 1,953 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,833 90 30 1,953 65 96
  • HTML: 1,833
  • PDF: 90
  • XML: 30
  • Total: 1,953
  • BibTeX: 65
  • EndNote: 96
Views and downloads (calculated since 30 Apr 2025)
Cumulative views and downloads (calculated since 30 Apr 2025)

Viewed (geographical distribution)

Total article views: 1,953 (including HTML, PDF, and XML) Thereof 1,918 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Dec 2025
Download
Short summary
In the sea ice-ocean models, errors in the parameters and missing spatiotemporal variations contribute to the deviations between the simulations and the observations. We extended an adjoint method to optimize spatiotemporally varying parameters together with the atmosphere forcing and the initial conditions using satellite and in-situ observations. Seasonally, this scheme demonstrates a more prominent advantage in mid-autumn and show great potential for accurately reproducing the Arctic changes.
Share