Articles | Volume 9, issue 3
https://doi.org/10.5194/bg-9-907-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-9-907-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Mar 2012
Research article |
| 05 Mar 2012
A model study of the seasonal and long–term North Atlantic surface pCO2 variability
J. F. Tjiputra
University of Bergen, Geophysical Institute, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
A. Olsen
Institute of Marine Research, Bergen, Norway
Uni Bjerknes Centre, Uni Research, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
K. Assmann
British Antarctic Survey, Cambridge, UK
B. Pfeil
University of Bergen, Geophysical Institute, Bergen, Norway
World Data Center for Marine Environmental Sciences, Bremen, Germany
Bjerknes Centre for Climate Research, Bergen, Norway
C. Heinze
University of Bergen, Geophysical Institute, Bergen, Norway
Uni Bjerknes Centre, Uni Research, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
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Cited
22 citations as recorded by crossref.
- Responses of carbon uptake and oceanic pCO2 to climate change in the North Atlantic: A model study with the Bergen Earth System Model N. Goris et al. https://doi.org/10.1002/2015GB005109
- Ocean carbonate system variability in the North Atlantic Subpolar surface water (1993–2017) C. Leseurre et al. https://doi.org/10.5194/bg-17-2553-2020
- A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables G. Bénard et al. https://doi.org/10.5194/esd-16-1085-2025
- Oxygen and indicators of stress for marine life in multi-model global warming projections V. Cocco et al. https://doi.org/10.5194/bg-10-1849-2013
- Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis K. Rodgers et al. https://doi.org/10.1029/2023GB007798
- A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT) D. Bakker et al. https://doi.org/10.5194/essd-8-383-2016
- Long-term surface pCO<sub>2</sub> trends from observations and models J. Tjiputra et al. https://doi.org/10.3402/tellusb.v66.23083
- The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake N. Goris et al. https://doi.org/10.5194/gmd-16-2095-2023
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. https://doi.org/10.1016/j.jmarsys.2016.12.003
- The ocean carbon sink – impacts, vulnerabilities and challenges C. Heinze et al. https://doi.org/10.5194/esd-6-327-2015
- Decadal predictions of the North Atlantic CO2 uptake H. Li et al. https://doi.org/10.1038/ncomms11076
- Global ocean surface pCO2 retrieval and the influence of mesoscale eddies on its performance Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2025.179856
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al. https://doi.org/10.3389/fmars.2020.00386
- A trend-based ecological indicator framework for spatially classifying ocean acidification risk to global coral reefs W. Chen et al. https://doi.org/10.1016/j.ecolind.2025.114545
- Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario P. Vaittinada Ayar et al. https://doi.org/10.5194/esd-13-1097-2022
- Seasonal to long-term variability of natural and anthropogenic carbon concentrations and transports in the subpolar North Atlantic Ocean R. Bajon et al. https://doi.org/10.5194/bg-23-2335-2026
- Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites M. Gharamti et al. https://doi.org/10.1016/j.ocemod.2017.02.006
- Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) J. Tjiputra et al. https://doi.org/10.5194/gmd-13-2393-2020
- The northern European shelf as an increasing net sink for CO2 M. Becker et al. https://doi.org/10.5194/bg-18-1127-2021
- Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. https://doi.org/10.1038/s43247-024-01257-2
- An update to the Surface Ocean CO2 Atlas (SOCAT version 2) D. Bakker et al. https://doi.org/10.5194/essd-6-69-2014
- The contribution of North Atlantic atmospheric circulation shifts to future wind speed projections for wind power over Europe P. Gonzalez et al. https://doi.org/10.1007/s00382-019-04776-3
22 citations as recorded by crossref.
- Responses of carbon uptake and oceanic pCO2 to climate change in the North Atlantic: A model study with the Bergen Earth System Model N. Goris et al. https://doi.org/10.1002/2015GB005109
- Ocean carbonate system variability in the North Atlantic Subpolar surface water (1993–2017) C. Leseurre et al. https://doi.org/10.5194/bg-17-2553-2020
- A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables G. Bénard et al. https://doi.org/10.5194/esd-16-1085-2025
- Oxygen and indicators of stress for marine life in multi-model global warming projections V. Cocco et al. https://doi.org/10.5194/bg-10-1849-2013
- Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis K. Rodgers et al. https://doi.org/10.1029/2023GB007798
- A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT) D. Bakker et al. https://doi.org/10.5194/essd-8-383-2016
- Long-term surface pCO<sub>2</sub> trends from observations and models J. Tjiputra et al. https://doi.org/10.3402/tellusb.v66.23083
- The emergence of the Gulf Stream and interior western boundary as key regions to constrain the future North Atlantic carbon uptake N. Goris et al. https://doi.org/10.5194/gmd-16-2095-2023
- Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic M. Gharamti et al. https://doi.org/10.1016/j.jmarsys.2016.12.003
- The ocean carbon sink – impacts, vulnerabilities and challenges C. Heinze et al. https://doi.org/10.5194/esd-6-327-2015
- Decadal predictions of the North Atlantic CO2 uptake H. Li et al. https://doi.org/10.1038/ncomms11076
- Global ocean surface pCO2 retrieval and the influence of mesoscale eddies on its performance Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2025.179856
- Ocean Biogeochemical Predictions—Initialization and Limits of Predictability F. Fransner et al. https://doi.org/10.3389/fmars.2020.00386
- A trend-based ecological indicator framework for spatially classifying ocean acidification risk to global coral reefs W. Chen et al. https://doi.org/10.1016/j.ecolind.2025.114545
- Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario P. Vaittinada Ayar et al. https://doi.org/10.5194/esd-13-1097-2022
- Seasonal to long-term variability of natural and anthropogenic carbon concentrations and transports in the subpolar North Atlantic Ocean R. Bajon et al. https://doi.org/10.5194/bg-23-2335-2026
- Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites M. Gharamti et al. https://doi.org/10.1016/j.ocemod.2017.02.006
- Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2) J. Tjiputra et al. https://doi.org/10.5194/gmd-13-2393-2020
- The northern European shelf as an increasing net sink for CO2 M. Becker et al. https://doi.org/10.5194/bg-18-1127-2021
- Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. https://doi.org/10.1038/s43247-024-01257-2
- An update to the Surface Ocean CO2 Atlas (SOCAT version 2) D. Bakker et al. https://doi.org/10.5194/essd-6-69-2014
- The contribution of North Atlantic atmospheric circulation shifts to future wind speed projections for wind power over Europe P. Gonzalez et al. https://doi.org/10.1007/s00382-019-04776-3
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