Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 12, issue 3
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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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.
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