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.
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.
the Creative Commons Attribution 4.0 License.
A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach
Daniel Broullón
CORRESPONDING AUTHOR
Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello 6, 36208
Vigo, Spain
Fiz F. Pérez
Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello 6, 36208
Vigo, Spain
Antón Velo
Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello 6, 36208
Vigo, Spain
Mario Hoppema
Alfred Wegener Institute Helmholtz Centre for Polar and Marine
Research, Postfach 120161, 27515 Bremerhaven, Germany
Are Olsen
Geophysical Institute, University of Bergen and Bjerknes Centre for
Climte Research, Allégaten 70, 5007 Bergen, Norway
Taro Takahashi
Lamont–Doherty Earth Observatory of Columbia University, Palisades, NY
10964, USA
deceased
Robert M. Key
Atmospheric and Oceanic Sciences, Princeton University, 300 Forrestal
Road, Sayre Hall, Princeton, NJ 08544, USA
Toste Tanhua
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker
Weg 20, 24105 Kiel, Germany
J. Magdalena Santana-Casiano
Instituto de Oceanografía y Cambio Global, IOCAG, Universidad de
Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Alex Kozyr
NOAA National Centers for Environmental Information, 1315 East-West
Hwy Silver Spring, MD 20910, USA
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- A vision for FAIR ocean data products T. Tanhua et al. 10.1038/s43247-021-00209-4
- Sailing through the southern seas of air–sea CO 2 flux uncertainty P. Landschützer et al. 10.1098/rsta.2022.0064
- Recent Trends and Variability in the Oceanic Storage of Dissolved Inorganic Carbon L. Keppler et al. 10.1029/2022GB007677
- Decadal Trends in the Oceanic Storage of Anthropogenic Carbon From 1994 to 2014 J. Müller et al. 10.1029/2023AV000875
- Constraining carbon and sulfur dynamics in Lake Erie nearshore waters: A chemical and isotopic reconnaissance study F. Yuan et al. 10.1016/j.jglr.2023.07.005
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- Estimation of Spatiotemporal Variability of Global Surface Ocean DIC Fields Using Ocean Color Remote Sensing Data I. Shaik et al. 10.1109/TGRS.2024.3390179
- The increasing big gap of carbon sink between the western and eastern Pacific in the last three decades G. Zhong et al. 10.3389/fmars.2022.1088181
- Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis K. Rodgers et al. 10.1029/2023GB007798
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Latest update: 20 Nov 2024
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.
This work offers a vision of the global ocean regarding the carbon cycle and the implications of...
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