Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation

Candille, G.; Brankart, J.-M.; Brasseur, P.

doi:https://doi.org/10.5194/os-11-425-2015

Articles | Volume 11, issue 3

https://doi.org/10.5194/os-11-425-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/os-11-425-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 11, issue 3

Research article

|

04 Jun 2015

Research article |

| 04 Jun 2015

Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation

G. Candille, J.-M. Brankart, and P. Brasseur

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Final revised paper (published on 04 Jun 2015)
Supplement to the final revised paper
Preprint (discussion started on 04 Dec 2014)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC C1338: 'Review of "Assessment of an ensemble system that assimilates Jason-1/Envisat altimeter data in a probabilistic model of the North Atlantic ocean circulation".', Anonymous Referee #1, 12 Feb 2015
- AC C1458: 'Reply to rferee #1', Guillem Candille, 18 Apr 2015
RC C1341: 'Clarify the goals, demonstrate the utility, clarify the positioning of the method.', Anonymous Referee #2, 15 Feb 2015
- AC C1461: 'Reply to referee #2', Guillem Candille, 18 Apr 2015

Short summary

A realistic ocean circulation model is adapted to explicitly simulate model uncertainties and an ensemble data assimilation -stochastic perturbations, altimetric data and 4-D observation operator- is developed in order to control the Gulf Stream dynamic. The performance of the ensemble system is measured through probabilistic approach; the update then adjusts the bias and the dispersion of the ensemble (reliability) and reduces the uncertainty by 30% (resolution) for the SSH variable.