The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2665-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-2665-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Research article
 | 
11 Jul 2023
Research article |  | 11 Jul 2023

Underestimation of oceanic carbon uptake in the Arctic Ocean: ice melt as predictor of the sea ice carbon pump

Benjamin Richaud, Katja Fennel, Eric C. J. Oliver, Michael D. DeGrandpre, Timothée Bourgeois, Xianmin Hu, and Youyu Lu

Supplement

https://doi.org/10.5194/tc-17-2665-2023-supplement

Data sets

Data set of 1D model runs, CTRL and ICE runs, associated with "Underestimation of oceanic carbon uptake in the Arctic Ocean: Ice melt as predictor of the sea ice carbon pump" Benjamin Richaud, Katja Fennel, Eric C. J. Oliver, Michael D. DeGrandpre, Timothée Bourgeois, Xianmin Hu, and Youyu Lu https://doi.org/10.5281/zenodo.7038942

The Australian Earth System Model: ACCESS-ESM1.5, Journal of Southern Hemisphere Earth Systems Science (https://esgf-node.llnl.gov/search/cmip6/) Tilo Ziehn, Matthew A. Chamberlain, Rachel M. Law, Andrew Lenton, Roger W. Bodman, Martin Dix, Lauren Stevens, Ying-Ping Wang, and Jhan Srbinovsky https://doi.org/10.1071/ES19035

BGOS Mooring In Situ pCO2 and pH time-series Michael DeGrandpre https://doi.org/10.18739/A28C9R46N

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Short summary
Sea ice is a dynamic carbon reservoir. Its seasonal growth and melt modify the carbonate chemistry in the upper ocean, with consequences for the Arctic Ocean carbon sink. Yet, the importance of this process is poorly quantified. Using two independent approaches, this study provides new methods to evaluate the error in air–sea carbon flux estimates due to the lack of biogeochemistry in ice in earth system models. Those errors range from 5 % to 30 %, depending on the model and climate projection.
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