the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
60 years of global air-sea CO2 flux variability
Abstract. The ocean carbon sink has absorbed approximately 29 % of anthropogenic carbon dioxide (CO2) emissions in the last decade, mitigating climate change. Over time, the ocean carbon sink has grown nearly proportionally to atmospheric CO2 concentrations. Natural variability also modulates the ocean carbon sink, but the decadal-timescale mechanisms of this variability are not well-understood. Using LDEO-Hybrid Physics Data, a unique observation-based product that merges observations with hindcast models, we assess the decadal variability of global air-sea CO2 fluxes for 1959–2024, with a focus on the dominant regional contributions. The dominant mode of decadal air-sea CO2 flux variability exhibits strong synchronous signals between the tropical Pacific and the Southern Ocean. This synchronicity is modulated by Pacific Decadal Variability (PDV) and the interannually varying El Niño-Southern Oscillation (ENSO) as measured by the Multivariate ENSO Index. When PDV and MEI indices are positive, the Southern Ocean experiences stronger westerly winds and deeper mixed layers. However, fully explaining the weakening of the Southern Ocean carbon sink in recent decades, which had predominantly negative PDV and MEI, will require additional constraints, particularly for biological processes.
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Status: open (until 05 Aug 2026)
- RC1: 'Comment on egusphere-2026-3104', Anonymous Referee #1, 22 Jul 2026 reply
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This article provides an assessment of decadal variability of global air-sea carbon dioxide fluxes. The authors use the LDEO-HPD, a data product, in order to evaluate the dominant modes of decadal variability of global air-sea CO2 fluxes and compare regional contributions to this variability. They find strong correlations between dominant modes of decadal flux variability and strong synchronous signals between the tropical Pacific and the Southern Ocean.
The overall paper article is thorough and robust in analysis. A few comments I think would improve the overall clarity and analysis:
In figure 2, it looks like starting in 1980 when data availability increases, the variability increases as well. This is for all basins, including Atlantic and Indian. While there is a small mention of this in the paragraph starting line 275, it focuses on the components in Figure 4. Can this be addressed some? If the time period is shortened, does that impact some of the conclusions? The uncertainty is shown as 1 standard deviation—does this vary over time?
Speaking of uncertainty, some of the standard deviations seem quite large (for example, figure 5 part A shows the FCO2’ to be 64, which if that were shaded, would span from a positive to a negative at multiple points. The paper makes the point that the fCO2 is overwhelming the other components, which isn’t necessarily the case with uncertainty taken into account during all time periods. I think the paper could be stronger with addressing some of this uncertainty in the discussion.
Additionally, there are several points in the paper where the reader is asked to compare two different figures, that are often on different axes and different formats. For example, line 304 the comparison of Figure 7 to Figure 6 (left column) left me a little confused about if I was comparing the right things and flipping across multiple pages. While this can sometimes happen, I think it would be nice if a few figures were adjusted with either an overlay or some alternate method of easier comparison within one figure.
Overall, this paper is a highly technical evaluation that provides an important contribution to the development of gap-filling methods and improved understanding of the global carbon budget and ocean carbon dynamics.
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