A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach

Broullón, Daniel; Pérez, Fiz F.; Velo, Antón; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; Tanhua, Toste; Santana-Casiano, J. Magdalena; Kozyr, Alex

doi:https://doi.org/10.5194/essd-12-1725-2020

Articles | Volume 12, issue 3

https://doi.org/10.5194/essd-12-1725-2020

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

https://doi.org/10.5194/essd-12-1725-2020

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

Articles | Volume 12, issue 3

Data description paper

|

05 Aug 2020

Data description paper |

| 05 Aug 2020

A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach

Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, J. Magdalena Santana-Casiano, and Alex Kozyr

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Final revised paper (published on 05 Aug 2020)
Supplement to the final revised paper
Preprint (discussion started on 11 Mar 2020)
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

RC1: 'Review of Broullon et al, 2020, TCO2 climatology from neural network', Anonymous Referee #1, 21 May 2020
- AC1: 'AC1', Daniel Broullón, 18 Jun 2020
RC2: 'A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach', Anonymous Referee #2, 22 May 2020
- AC2: 'AC2', Daniel Broullón, 18 Jun 2020
RC3: 'Interactive comment on “A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach” by Daniel Broullón et al.', Anonymous Referee #3, 26 May 2020
- AC3: 'AC3', Daniel Broullón, 18 Jun 2020

Peer-review completion

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

AR by Daniel Broullón on behalf of the Authors (18 Jun 2020) Author's response

ED: Publish as is (02 Jul 2020) by Jens Klump

Short summary

This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.