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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jul 2023
Research article |
| 11 Jul 2023
| 11 Jul 2023
Underestimation of oceanic carbon uptake in the Arctic Ocean: ice melt as predictor of the sea ice carbon pump
Department of Oceanography, Dalhousie University, Halifax, NS, Canada
Katja Fennel
Department of Oceanography, Dalhousie University, Halifax, NS, Canada
Eric C. J. Oliver
Department of Oceanography, Dalhousie University, Halifax, NS, Canada
Michael D. DeGrandpre
Department of Chemistry and Biochemistry, University of Montana, Missoula, MT, USA
Timothée Bourgeois
Department of Oceanography, Dalhousie University, Halifax, NS, Canada
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway
Xianmin Hu
Department of Oceanography, Dalhousie University, Halifax, NS, Canada
Bedford Institute of Oceanography, Department of Fisheries and Oceans, Dartmouth, NS, Canada
Youyu Lu
Bedford Institute of Oceanography, Department of Fisheries and Oceans, Dartmouth, NS, Canada
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This paper present the Coastal Ice-Ocean Prediction System implemented operationally at Environment and climate change Canada. The objective is to enhance the numerical guidance in coastal areas to support electronic navigation and response to environmental emergencies in the aquatic environment. Model evaluation against observations shows improvements for most surface ocean variables in the coastal system compared to current coarser-resolution operational systems.
Arnaud Laurent, Haiyan Zhang, and Katja Fennel
Biogeosciences, 19, 5893–5910, https://doi.org/10.5194/bg-19-5893-2022, https://doi.org/10.5194/bg-19-5893-2022, 2022
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Krysten Rutherford, Katja Fennel, Dariia Atamanchuk, Douglas Wallace, and Helmuth Thomas
Biogeosciences, 18, 6271–6286, https://doi.org/10.5194/bg-18-6271-2021, https://doi.org/10.5194/bg-18-6271-2021, 2021
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Bin Wang, Katja Fennel, and Liuqian Yu
Ocean Sci., 17, 1141–1156, https://doi.org/10.5194/os-17-1141-2021, https://doi.org/10.5194/os-17-1141-2021, 2021
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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.
Sea ice is a dynamic carbon reservoir. Its seasonal growth and melt modify the carbonate...
