Assessing the role and consistency of satellite observation products in global physical–biogeochemical ocean reanalysis

Ford, David Andrew

doi:https://doi.org/10.5194/os-16-875-2020

Articles | Volume 16, issue 4

https://doi.org/10.5194/os-16-875-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-16-875-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 4

Research article

|

23 Jul 2020

Research article |

| 23 Jul 2020

Assessing the role and consistency of satellite observation products in global physical–biogeochemical ocean reanalysis

David Andrew Ford

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Final revised paper (published on 23 Jul 2020)
Preprint (discussion started on 08 Nov 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of ms os-2019-118', Anonymous Referee #1, 18 Feb 2020
- AC1: 'Reply to Referee #1', David Ford, 28 May 2020
RC2: 'Review of the paper "Assessing the role and consistency of satellite observation products in global physical-biogeochemical ocean reanalysis" by D. Ford', Anonymous Referee #2, 18 Apr 2020
- AC2: 'Reply to Referee #2', David Ford, 28 May 2020

Peer-review completion

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

AR by David Ford on behalf of the Authors (03 Jun 2020) Author's response Manuscript

ED: Publish as is (16 Jun 2020) by Anna Rubio

AR by David Ford on behalf of the Authors (22 Jun 2020)

Short summary

Satellite observations of the ocean were combined with a numerical model to create simulations of the ocean state between 1998 and 2010. Relationships between physical and biogeochemical quantities were assessed to investigate whether observations of different variables are consistent in their representation of the Earth system. Good consistency was found. The results also highlighted ways in which the model could be improved and the respective impacts of using different observations.