The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally
consistent data product for the world ocean

Olsen, Are; Key, Robert M.; van Heuven, Steven; Lauvset, Siv K.; Velo, Anton; Lin, Xiaohua; Schirnick, Carsten; Kozyr, Alex; Tanhua, Toste; Hoppema, Mario; Jutterström, Sara; Steinfeldt, Reiner; Jeansson, Emil; Ishii, Masao; Pérez, Fiz F.; Suzuki, Toru

doi:https://doi.org/10.5194/essd-8-297-2016

Articles | Volume 8, issue 2

Earth Syst. Sci. Data, 8, 297–323, 2016

https://doi.org/10.5194/essd-8-297-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Earth Syst. Sci. Data, 8, 297–323, 2016

https://doi.org/10.5194/essd-8-297-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 2

15 Aug 2016

The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product for the world ocean

Are Olsen et al.

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Final revised paper (published on 15 Aug 2016)
Supplement to the final revised paper
Preprint (discussion started on 19 Jan 2016)
Supplement to the preprint
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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, 04 Apr 2016
- AC1: 'Response to comments from referee 1.', A. Olsen, 29 Jun 2016
- AC2: 'Response to some more comments', A. Olsen, 29 Jun 2016
RC2: 'Review', Anonymous Referee #2, 20 Apr 2016
- AC3: 'Response to comments from referee 2 on An internally consistent data product for the world ocean: the Global Data Analysis Project, version 2 (GLODAPv2)', A. Olsen, 29 Jun 2016

Short summary

The GLODAPv2 data product collects data from more than 700 hydrographic cruises into a global and internally calibrated product. It provides access to the data from almost all ocean carbon cruises carried out since the 1970s and is a unique resource for marine science, in particular regarding the ocean carbon cycle. GLODAPv2 will form the foundation for future routine synthesis of hydrographic data of the same sort.