Integrated analysis of carbon dioxide and oxygen concentrations as a quality control of ocean float data

Wu, Yingxu; Bakker, Dorothee C. E.; Achterberg, Eric P.; Silva, Amavi N.; Pickup, Daisy D.; Li, Xiang; Hartman, Sue ORCID: https://orcid.org/0000-0002-6363-1331; Stappard, David; Qi, Di; Tyrrell, Toby. 2022 Integrated analysis of carbon dioxide and oxygen concentrations as a quality control of ocean float data. Communications Earth & Environment, 3 (1). https://doi.org/10.1038/s43247-022-00421-w

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Official URL: http://dx.doi.org/10.1038/s43247-022-00421-w

Abstract/Summary

The distributions of dissolved O2 and CO2 have not previously been systematically compared across the global surface ocean, despite their significance for life and climate. Here we analyze carbon dioxide and oxygen concentrations relative to saturation (equilibrium with the atmosphere) in surface waters, using two large datasets (ship-collected and float-collected data). When applied to a high-quality global ship-collected dataset, CO2 and O2 concentrations relative to saturation exhibit large seasonal and geographic variations. However, linear fits of CO2 and O2 deviations from saturation (ΔCO2 against ΔO2) yield y-intercepts close to zero, which suggests a requirement for data validity. We utilize this finding to investigate the accuracy of carbonate system data from biogeochemical-Argo floats. We find significant discrepancies in ΔCO2-ΔO2 y-intercepts compared to the global reference, implying overestimations of float-based CO2 release in the Southern Ocean. We conclude that this technique can be applied to data from autonomous platforms for quality assessment.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1038/s43247-022-00421-w
ISSN:	2662-4435
Date made live:	12 Sep 2022 15:25 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533197

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1038/s43247-022-00421-w

ISSN:

2662-4435

Date made live:

12 Sep 2022 15:25 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/533197