Ocean Science
Ocean Science
OS
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/os-15-443-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-15-443-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Research article
 | 
26 Apr 2019
Research article |  | 26 Apr 2019

A multiscale ocean data assimilation approach combining spatial and spectral localisation

Ann-Sophie Tissier, Jean-Michel Brankart, Charles-Emmanuel Testut, Giovanni Ruggiero, Emmanuel Cosme, and Pierre Brasseur

Viewed

Total article views: 2,861 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,954 803 104 2,861 94 93
  • HTML: 1,954
  • PDF: 803
  • XML: 104
  • Total: 2,861
  • BibTeX: 94
  • EndNote: 93
Views and downloads (calculated since 29 Nov 2018)
Cumulative views and downloads (calculated since 29 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,861 (including HTML, PDF, and XML) Thereof 2,374 with geography defined and 487 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Mar 2025
Download
Short summary
To better exploit the observational information available for all scales in data assimilation systems, we investigate a new method to introduce scale separation in the algorithm. It consists in carrying out the analysis with spectral localisation for the large scales and spatial localisation for the residual scales. The performance is then checked explicitly and separately for all scales. Results show that accuracy can be improved for the large scales while preserving reliability at all scales.
Read more
Share
Special issue
The Copernicus Marine Environment Monitoring Service (CMEMS):...