An assessment of sea-air CO 2 flux in the Arctic Ocean from 1985 to 2018

As a contribution to the Regional Carbon Cycle Assessment and Processes phase 2 (RECCAP2) project, we present synthesized estimates of the Arctic Ocean CO 2 uptake and their uncertainties from state-of-the-art surface ocean p CO 2 -observation products, global and regional ocean biogeochemical model...

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Bibliographic Details
Main Authors: Yasunaka, S., Manizza, M., Terhaar, J., Olsen, A., Yamaguchi, R., Landschützer, P., Watanabe, E., Carroll, D., Adiwira, H., Müller, J., Hauck, J.
Format: Article in Journal/Newspaper
Language:English
Published: 2023
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Online Access:https://www.vliz.be/imisdocs/publications/387282.pdf
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Summary:As a contribution to the Regional Carbon Cycle Assessment and Processes phase 2 (RECCAP2) project, we present synthesized estimates of the Arctic Ocean CO 2 uptake and their uncertainties from state-of-the-art surface ocean p CO 2 -observation products, global and regional ocean biogeochemical models and atmospheric inversions. For the period of 1985−2018, the Arctic Ocean represents a net sink of CO 2 of 103 ± 19 TgC yr −1 in the p CO 2 products and 92 ± 30 TgC yr −1 in the ocean biogeochemical models. While the long-term mean CO 2 uptake in the Arctic Ocean is primarily caused by steady-state fluxes of natural carbon, it is enhanced 28% by the atmospheric CO 2 increase and 15% by climate change. Moreover, the climate effect in the Arctic Ocean has become more important in recent years. The CO 2 uptake peaks in late summer and early autumn, and is low in winter because the sea ice cover inhibits sea-air fluxes. The annual mean of CO 2 uptake increased due to the decreasing sea ice concentration both in the p CO 2 products and the ocean biogeochemical models. Both, the mean CO 2 uptake and the trend, is substantially weaker in the atmospheric inversions. Uncertainty across all estimates is large especially in the estimated surface ocean p CO 2 values in the East Siberian Sea and the Laptev Sea, due to scarcity of observations and missing processes in models, such as land-sea fluxes and sediment dynamics.