Articles | Volume 17, issue 15
https://doi.org/10.5194/gmd-17-5987-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5987-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
13 Aug 2024
Development and technical paper |
| 13 Aug 2024
| 13 Aug 2024
An optimal transformation method applied to diagnose the ocean carbon budget
Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4SB, UK
Taimoor Sohail
School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia
Australian Centre for Excellence in Antarctic Science, University of New South Wales, Sydney, NSW 2052, Australia
Jan David Zika
School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia
Australian Centre for Excellence in Antarctic Science, University of New South Wales, Sydney, NSW 2052, Australia
Richard G. Williams
School of Environmental Sciences, University of Liverpool, Liverpool, L69 7ZX, UK
Oliver Andrews
Department of Environment and Geography, University of York, York, YO10 5DD, UK
Andrew James Watson
Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4SB, UK
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Short summary
The ocean absorbs carbon dioxide from the atmosphere, mitigating climate change, but estimates of the uptake do not always agree. There is a need to reconcile these differing estimates and to improve our understanding of ocean carbon uptake. We present a new method for estimating ocean carbon uptake and test it with model data. The method effectively diagnoses the ocean carbon uptake from limited data and therefore shows promise for reconciling different observational estimates.
The ocean absorbs carbon dioxide from the atmosphere, mitigating climate change, but estimates...
