Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2499-2023
© Author(s) 2023. 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-15-2499-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 Jun 2023
Data description paper |
| 16 Jun 2023
| 16 Jun 2023
OceanSODA-UNEXE: a multi-year gridded Amazon and Congo River outflow surface ocean carbonate system dataset
Richard P. Sims
CORRESPONDING AUTHOR
Centre for Geography and Environmental Science, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, TR10 9FE, UK
Thomas M. Holding
Department of Human Behaviour, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
Peter E. Land
Remote Sensing Group, Plymouth Marine Laboratory, Plymouth, PL13DH, UK
Jean-Francois Piolle
Laboratoire d'Océanographie Physique et Spatiale (LOPS), IFREMER, Université of Brest, CNRS, IRD, IUEM, 29280 Brest, France
Hannah L. Green
Centre for Geography and Environmental Science, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, TR10 9FE, UK
Remote Sensing Group, Plymouth Marine Laboratory, Plymouth, PL13DH, UK
Jamie D. Shutler
Centre for Geography and Environmental Science, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, TR10 9FE, UK
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Short summary
The flow of carbon between the land and ocean is poorly quantified with existing measurements. It is not clear how seasonality and long-term variability impact this flow of carbon. Here, we demonstrate how satellite observations can be used to create decadal time series of the inorganic carbonate system in the Amazon and Congo River outflows.
The flow of carbon between the land and ocean is poorly quantified with existing measurements....
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