Articles | Volume 22, issue 23
https://doi.org/10.5194/bg-22-7519-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Mesoscale eddies heterogeneously modulate CO2 fluxes in eddy-rich regions of the Southern Ocean
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- Final revised paper (published on 02 Dec 2025)
- Preprint (discussion started on 31 Jul 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2025-3067', Anonymous Referee #1, 31 Aug 2025
- AC1: 'Reply on RC1', Mariana Salinas Matus, 17 Oct 2025
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RC2: 'Comment on egusphere-2025-3067', Anonymous Referee #2, 06 Sep 2025
- AC2: 'Reply on RC2', Mariana Salinas Matus, 17 Oct 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Publish subject to minor revisions (review by editor) (20 Oct 2025) by Hermann Bange
AR by Mariana Salinas Matus on behalf of the Authors (03 Nov 2025)
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ED: Publish as is (04 Nov 2025) by Hermann Bange
AR by Mariana Salinas Matus on behalf of the Authors (11 Nov 2025)
Author's response
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Salinas-Matus et al. present an investigation into the effects of mesoscale eddies on the air-sea CO2 flux within eddy rich regions of the Southern Ocean. They find geographical differences in the eddy effects on air-sea CO2 flux between the Brazil-Malvinas confluence, Agulhas Retroflection and the region South of Tasmania. They investigate the factors driving these differences in the air-sea CO2 fluxes and find that the pCO2 gradient (ΔpCO2) is the primary driver, which itself is mainly driven by differences in dissolved inorganic carbon (DIC). Using a temporal decomposition a further result shows that eddies act as persistent CO2 sinks on decadal timescales but are more variable at shorter timescales. I find this study to provide a comprehensive analysis of the eddy rich regions of the Southern Ocean and the modulation of the air-sea CO2 fluxes and can recommend for publication once my remaining comments below have been addressed (especially the analysis in Figure 5 which is unclear).
General comment: I’d suggest to aid readers, to change the cyclonic eddy results to be coloured blue, and the anticyclonic eddies to be coloured red. Although the legends are clear in defining the colours, the common conventions in previous work are for anticyclonic (generally ‘warm’) eddies are coloured red, and cyclonic (generally ‘cold’) eddies blue.
General comment: I’d suggest picking a different colour for the periphery to avoid having red and green to aid readers that are colour-blind.
Line 27: “Cyclone” should be “Cyclonic”
Line 86: Can some details of the air-sea CO2 flux parameterisation be mentioned? What was the parameterisation used for kw (and Schmidt number), and the solubility.
Line 92: What was the native time resolution of the model, that was then collated into the daily averages?
Line 113: What is the sensitivity of the results to the Okubo-Weiss parameter values used to define the background, eddy and periphery. Is this a commonly applied value (I don’t see a reference for this selection)? The selection appears to identify large regions far from negative OW values, that get identified as the “periphery” in Figure 1a, which may suggest that this value is too relaxed?
Line 130: I’d suggest the final sentence isn’t required - it could be moved to the conclusion or introduction if the authors would like to keep it.
Figure 1: Suggest changing colour map in Figure 2b (bottom panel) for colour-blindness.
Line 170: Id suggest more is said surrounding the “background” conditions in the Agulhas retroflection region being cooler than the cyclonic eddies. The cyclonic eddies would be forming from the cool side of the retroflection and therefore should be cooler than the background as this water wouldn’t be originating in the Indian Ocean. Figure 3a shows the cooler water on Southern Ocean side of the retroflection, and Figure 2b shows SST anomalies for cyclonic eddies being negative. The background conditions also appear based on Figure 1a to be originating from the Indian South Subtropical gyre with warmer temperatures.
Line 201: Id suggest more is said on the Tasmania region eddies and the sporadic events. These sporadic high uptake events seem to be more prevalent in the Tasmania region, compared to the other regions, and have a large effect on the Figure 4 uptake results. As pCO2 is the dominant driver in the integrated fluxes, could you elaborate on a mechanism?
Table 2: It is unclear what the ± values denote. Is it mean ± the standard deviation?
Line 253: Could the greater influence of kw be due to the increase in wind speeds generally observed over anticyclonic eddies? (Frenger et al., 2013) and the opposite for cyclonic eddies?
Line 264: How was the pCO2 (atm) prescribed? Can details of this be added in the methods for model setup?
Line 271: Figure 5 captions indicate these regressions are for ΔpCO2 regressed against the thermal and non-thermal components separately, where as the text indicates this is the total flux. Based on the regressions I think this is each component regressed against the total flux. The analysis in this form may not answer the aim as the contributions of the thermal and non-thermal components to the changes in ΔpCO2 would be combined with variability in kw (and other inputs to the fluxes) when regressing against fluxes. I am unsure of the aim of this portion of the analysis and suggest the authors should clarify this analysis (Lines 264-275).
Code availability: Code is available to do sections of the analysis but was unable to find plotting scripts to complete the analysis.
Data availability: I note no data availability statement. Are these fields available or can they be requested? I expect not due to data volume, but this should be stated. These fields appear very useful for studying mesoscale eddies over a long time period, so could be useful for the community.
References
Frenger, I., Gruber, N., Knutti, R., & Münnich, M. (2013). Imprint of Southern Ocean eddies on winds, clouds and rainfall. Nature Geoscience, 6(8), 608–612. https://doi.org/10.1038/ngeo1863