A multiscale ocean data assimilation approach combining spatial and spectral localisation

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

doi:https://doi.org/10.5194/os-15-443-2019

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:

The Copernicus Marine Environment Monitoring Service (CMEMS):...

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

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Final revised paper (published on 26 Apr 2019)
Preprint (discussion started on 29 Nov 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comment', Anonymous Referee #1, 14 Dec 2018
- AC1: 'Reply to comments by Reviewer 1', Ann-Sophie Tissier, 21 Feb 2019
RC2: 'Reviewer comment', Anonymous Referee #2, 28 Dec 2018
- AC2: 'Reply to comments by Reviewer 2', Ann-Sophie Tissier, 21 Feb 2019
RC3: 'Review', Benedicte Lemieux-Dudon, 16 Jan 2019
- AC3: 'Reply to comments by Benedicte Lemieux-Dudon', Ann-Sophie Tissier, 21 Feb 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Ann-Sophie Tissier on behalf of the Authors (04 Mar 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (18 Mar 2019) by Marina Tonani

AR by Ann-Sophie Tissier on behalf of the Authors (20 Mar 2019) Author's response Manuscript

ED: Publish as is (21 Mar 2019) by Marina Tonani

AR by Ann-Sophie Tissier on behalf of the Authors (28 Mar 2019) Author's response Manuscript

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.