The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation

Szekely, Tanguy; Gourrion, Jérôme; Pouliquen, Sylvie; Reverdin, Gilles

doi:https://doi.org/10.5194/os-15-1601-2019

Articles | Volume 15, issue 6

https://doi.org/10.5194/os-15-1601-2019

© 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-15-1601-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Research article

|

04 Dec 2019

Research article |

| 04 Dec 2019

The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation

Tanguy Szekely, Jérôme Gourrion, Sylvie Pouliquen, and Gilles Reverdin

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Final revised paper (published on 04 Dec 2019)
Preprint (discussion started on 21 Jan 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 06 Feb 2019
- AC1: 'Answer to the review', Tanguy Szekely, 08 Aug 2019
RC2: 'The CORA 5.2 dataset: global in-situ Temperature and Salinity measurements dataset. Data description and validation', Anonymous Referee #2, 28 Jun 2019
- AC2: 'Answer to the rewiev', Tanguy Szekely, 08 Aug 2019

Peer-review completion

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

AR by Tanguy Szekely on behalf of the Authors (09 Aug 2019)

ED: Publish as is (07 Sep 2019) by Emil Stanev

AR by Tanguy Szekely on behalf of the Authors (28 Oct 2019)

Short summary

This study is an attempt to validate the quality of a global temperature and salinity dataset by estimating the effects of measurement errors on the estimated ocean variability. The study shows that the effects of the measurement errors decrease during the quality control process and are almost null for the delayed-time-mode quality-controlled dataset.