Global reduction of in situ CO₂ transfer velocity by natural surfactants in the sea-surface microlayer
For decades, the effect of surfactants in the sea-surface microlayer (SML) on gas transfer velocity (k) has been recognized; however, it has not been quantified under natural conditions due to missing coherent data on in situ k of carbon dioxide (CO₂) and characterization of the SML. Moreover, a sea...
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Veröffentlicht in: | Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences Mathematical, physical, and engineering sciences, 2020-02, Vol.476 (2234), p.1-14 |
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Sprache: | eng |
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Zusammenfassung: | For decades, the effect of surfactants in the sea-surface microlayer (SML) on gas transfer velocity (k) has been recognized; however, it has not been quantified under natural conditions due to missing coherent data on in situ k of carbon dioxide (CO₂) and characterization of the SML. Moreover, a sea-surface phenomenon of wave-dampening, known as slicks, has been observed frequently in the ocean and potentially reduces the transfer of climate-relevant gases between the ocean and atmosphere. Therefore, this study aims to quantify the effect of natural surfactant and slicks on the in situ k of CO₂. A catamaran, Sea Surface Scanner (S³), was deployed to sample the SML and corresponding underlying water, and a drifting buoy with a floating chamber was deployed to measure the in situ k of CO₂. We found a significant 23% reduction of k above surfactant concentrations of 200 μg Teq l−1, which were common in the SML except for the Western Pacific. We conclude that an error of approximately 20% in CO₂ fluxes for the Western Pacific is induced by applying wind-based parametrization not developed in low surfactant regimes. Furthermore, we observed an additional 62% reduction in natural slicks, reducing global CO₂ fluxes by 19% considering known frequency of slick coverage. From our observation, we identified surfactant concentrations with two different end-members which lead to an error in global CO₂ flux estimation if ignored. |
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ISSN: | 1364-5021 1471-2946 |
DOI: | 10.1098/rspa.2019.0763 |