ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

Forget, G.; Campin, J.-M.; Heimbach, P.; Hill, C. N.; Ponte, R. M.; Wunsch, C.

doi:https://doi.org/10.5194/gmd-8-3071-2015

Articles | Volume 8, issue 10

https://doi.org/10.5194/gmd-8-3071-2015

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

https://doi.org/10.5194/gmd-8-3071-2015

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

Articles | Volume 8, issue 10

Model description paper

| Highlight paper

|

06 Oct 2015

Model description paper | Highlight paper |

| 06 Oct 2015

ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

G. Forget, J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch

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Final revised paper (published on 06 Oct 2015)
Supplement to the final revised paper
Preprint (discussion started on 05 May 2015)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC C1097: 'Referee Report', Anonymous Referee #1, 15 Jun 2015
RC C1417: 'review comment', Anonymous Referee #2, 20 Jul 2015
EC C1557: 'Editor comment', James Annan, 31 Jul 2015
AC C1768: 'final response and revised manuscript', Gael Forget, 24 Aug 2015

Peer-review completion

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

AR by Gael Forget on behalf of the Authors (24 Aug 2015) Author's response Manuscript

ED: Publish as is (17 Sep 2015) by James Annan

AR by Gael Forget on behalf of the Authors (17 Sep 2015)

Short summary

The ECCO v4 non-linear inverse modeling framework and its reference solution are made publicly available. The inverse estimate of ocean physics and atmospheric forcing yields a dynamically consistent and global state estimate without unidentified sources of heat and salt that closely fits in situ and satellite data. Any user can reproduce it accurately. Parametric and external model uncertainties are of comparable magnitudes and generally exceed structural model uncertainties.