Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-4171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The sensitivity of pCO2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
Laique M. Djeutchouang
CORRESPONDING AUTHOR
SOCCO, CSIR, Rosebank, Cape Town, 7700, South Africa
MARIS, Department of Oceanography, University of Cape Town, Cape Town,
7701, South Africa
Nicolette Chang
SOCCO, CSIR, Rosebank, Cape Town, 7700, South Africa
Luke Gregor
Environmental Physics, Institute of Biogeochemistry and Pollutant
Dynamics, ETH Zürich, 8092 Zurich, Switzerland
Marcello Vichi
MARIS, Department of Oceanography, University of Cape Town, Cape Town,
7701, South Africa
Pedro M. S. Monteiro
SOCCO, CSIR, Rosebank, Cape Town, 7700, South Africa
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Cited
17 citations as recorded by crossref.
- Trends and variability in the ocean carbon sink N. Gruber et al. 10.1038/s43017-022-00381-x
- Sailing through the southern seas of air–sea CO 2 flux uncertainty P. Landschützer et al. 10.1098/rsta.2022.0064
- The importance of adding unbiased Argo observations to the ocean carbon observing system T. Heimdal & G. McKinley 10.1038/s41598-024-70617-x
- The Four-Dimensional Carbon Cycle of the Southern Ocean A. Gray 10.1146/annurev-marine-041923-104057
- Building a carbon dioxide removal science–policy partnership for southern Africa P. Monteiro & G. Midgley 10.17159/sajs.2023/16320
- Subantarctic pCO2 estimated from a biogeochemical float: comparison with moored observations reinforces the importance of spatial and temporal variability C. Wynn-Edwards et al. 10.3389/fmars.2023.1231953
- A detectable change in the air-sea CO2 flux estimate from sailboat measurements J. Behncke et al. 10.1038/s41598-024-53159-0
- Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling T. Heimdal et al. 10.5194/bg-21-2159-2024
- Extratropical storms induce carbon outgassing over the Southern Ocean M. Carranza et al. 10.1038/s41612-024-00657-7
- Magnitude, Trends, and Variability of the Global Ocean Carbon Sink From 1985 to 2018 T. DeVries et al. 10.1029/2023GB007780
- Constraining the trend in the ocean CO2 sink during 2000–2022 N. Mayot et al. 10.1038/s41467-024-52641-7
- Direct observational evidence of strong CO 2 uptake in the Southern Ocean Y. Dong et al. 10.1126/sciadv.adn5781
- Multiscale Temporal Variability of the Global Air‐Sea CO2 Flux Anomaly Y. Gu et al. 10.1029/2022JG006934
- The Southern Ocean Carbon Cycle 1985–2018: Mean, Seasonal Cycle, Trends, and Storage J. Hauck et al. 10.1029/2023GB007848
- GOBAI-O2: temporally and spatially resolved fields of ocean interior dissolved oxygen over nearly 2 decades J. Sharp et al. 10.5194/essd-15-4481-2023
- Sparse observations induce large biases in estimates of the global ocean CO 2 sink: an ocean model subsampling experiment J. Hauck et al. 10.1098/rsta.2022.0063
- A monthly surface <i>p</i>CO<sub>2</sub> product for the California Current Large Marine Ecosystem J. Sharp et al. 10.5194/essd-14-2081-2022
16 citations as recorded by crossref.
- Trends and variability in the ocean carbon sink N. Gruber et al. 10.1038/s43017-022-00381-x
- Sailing through the southern seas of air–sea CO 2 flux uncertainty P. Landschützer et al. 10.1098/rsta.2022.0064
- The importance of adding unbiased Argo observations to the ocean carbon observing system T. Heimdal & G. McKinley 10.1038/s41598-024-70617-x
- The Four-Dimensional Carbon Cycle of the Southern Ocean A. Gray 10.1146/annurev-marine-041923-104057
- Building a carbon dioxide removal science–policy partnership for southern Africa P. Monteiro & G. Midgley 10.17159/sajs.2023/16320
- Subantarctic pCO2 estimated from a biogeochemical float: comparison with moored observations reinforces the importance of spatial and temporal variability C. Wynn-Edwards et al. 10.3389/fmars.2023.1231953
- A detectable change in the air-sea CO2 flux estimate from sailboat measurements J. Behncke et al. 10.1038/s41598-024-53159-0
- Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling T. Heimdal et al. 10.5194/bg-21-2159-2024
- Extratropical storms induce carbon outgassing over the Southern Ocean M. Carranza et al. 10.1038/s41612-024-00657-7
- Magnitude, Trends, and Variability of the Global Ocean Carbon Sink From 1985 to 2018 T. DeVries et al. 10.1029/2023GB007780
- Constraining the trend in the ocean CO2 sink during 2000–2022 N. Mayot et al. 10.1038/s41467-024-52641-7
- Direct observational evidence of strong CO 2 uptake in the Southern Ocean Y. Dong et al. 10.1126/sciadv.adn5781
- Multiscale Temporal Variability of the Global Air‐Sea CO2 Flux Anomaly Y. Gu et al. 10.1029/2022JG006934
- The Southern Ocean Carbon Cycle 1985–2018: Mean, Seasonal Cycle, Trends, and Storage J. Hauck et al. 10.1029/2023GB007848
- GOBAI-O2: temporally and spatially resolved fields of ocean interior dissolved oxygen over nearly 2 decades J. Sharp et al. 10.5194/essd-15-4481-2023
- Sparse observations induce large biases in estimates of the global ocean CO 2 sink: an ocean model subsampling experiment J. Hauck et al. 10.1098/rsta.2022.0063
Latest update: 20 Nov 2024
Short summary
Based on observing system simulation experiments using a mesoscale-resolving model, we found that to significantly improve uncertainties and biases in carbon dioxide (CO2) mapping in the Southern Ocean, it is essential to resolve the seasonal cycle (SC) of the meridional gradient of CO2 through high frequency (at least daily) observations that also span the region's meridional axis. We also showed that the estimated SC anomaly and mean annual CO2 are highly sensitive to seasonal sampling biases.
Based on observing system simulation experiments using a mesoscale-resolving model, we found...
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