Articles | Volume 17, issue 7
https://doi.org/10.5194/tc-17-2665-2023
https://doi.org/10.5194/tc-17-2665-2023
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

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Cited articles

Ahmed, M., Else, B. G. T., Burgers, T. M., and Papakyriakou, T.: Variability of Surface Water pCO2 in the Canadian Arctic Archipelago From 2010 to 2016, J. Geophys. Res.-Oceans, 124, 1876–1896, https://doi.org/10.1029/2018JC014639, 2019. a
Aumont, O., Ethé, C., Tagliabue, A., Bopp, L., and Gehlen, M.: PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, Geosci. Model Dev., 8, 2465–2513, https://doi.org/10.5194/gmd-8-2465-2015, 2015. a, b
Barthélemy, A., Fichefet, T., Goosse, H., and Madec, G.: Modeling the Interplay between Sea Ice Formation and the Oceanic Mixed Layer: Limitations of Simple Brine Rejection Parameterizations, Ocean Model., 86, 141–152, https://doi.org/10.1016/j.ocemod.2014.12.009, 2015. a
Bates, N. R. and Mathis, J. T.: The Arctic Ocean marine carbon cycle: evaluation of air-sea CO2 exchanges, ocean acidification impacts and potential feedbacks, Biogeosciences, 6, 2433–2459, https://doi.org/10.5194/bg-6-2433-2009, 2009. a
Bogucki, D., Carr, M.-E., Drennan, W. M., Woiceshyn, P., Hara, T., and Schmeltz, M.: Preliminary and Novel Estimates of CO2 Gas Transfer Using a Satellite Scatterometer during the 2001GasEx Experiment, Int. J. Remote Sens., 31, 75–92, https://doi.org/10.1080/01431160902882546, 2010. a
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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.