Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-423-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-423-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Development and technical paper
 | 
15 Jan 2026
Development and technical paper |  | 15 Jan 2026

Implementation and evaluation of sea level operators in OceanVar2.0: an open-source oceanographic three-dimensional variational data assimilation system

Paolo Oddo, Mario Adani, Francesco Carere, Andrea Cipollone, Anna Chiara Goglio, Eric Jansen, Ali Aydogdu, Francesca Mele, Italo Epicoco, Jenny Pistoia, Emanuela Clementi, Nadia Pinardi, and Simona Masina

Viewed

Total article views: 2,583 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,325 206 52 2,583 17 53 65
  • HTML: 2,325
  • PDF: 206
  • XML: 52
  • Total: 2,583
  • Supplement: 17
  • BibTeX: 53
  • EndNote: 65
Views and downloads (calculated since 10 Jun 2025)
Cumulative views and downloads (calculated since 10 Jun 2025)

Viewed (geographical distribution)

Total article views: 2,583 (including HTML, PDF, and XML) Thereof 2,493 with geography defined and 90 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Feb 2026
Download
Short summary
This study present a data assimilation system that combines ocean observational data with ocean model results to better understand the ocean and predict its future state. The method uses a three dimensional incremental variational approach focusing on the physical relationships between all the state vector variables errors. Testing in the Mediterranean Sea showed that a complex sea level operator based on a barotropic model works best.
Read more
Share