Articles | Volume 13, issue 3
https://doi.org/10.5194/esd-13-1097-2022
© 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/esd-13-1097-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2022
Research article |
| 28 Jul 2022
| 28 Jul 2022
Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario
Pradeebane Vaittinada Ayar
CORRESPONDING AUTHOR
NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Bergen, Norway
Laurent Bopp
LMD-IPSL, Ecole Normale Supérieure / Université PSL, CNRS, Ecole Polytechnique, Sorbonne Université, Paris, PSL University, Paris, France
Jim R. Christian
Canadian Centre for Climate Modelling and Analysis, Victoria, BC, CA
Tatiana Ilyina
Max Planck Institute for Meteorology, Hamburg, Germany
John P. Krasting
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey 08540, USA
Roland Séférian
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Hiroyuki Tsujino
JMA Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan
Michio Watanabe
Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 3173-25, Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
Andrew Yool
National Oceanography Centre, Southampton, UK
Jerry Tjiputra
NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Bergen, Norway
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Cited
14 citations as recorded by crossref.
- Observation-constrained estimates of the global ocean carbon sink from Earth system models J. Terhaar et al. 10.5194/bg-19-4431-2022
- Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. 10.1038/s43247-024-01257-2
- Global Surface Ocean Acidification Indicators From 1750 to 2100 L. Jiang et al. 10.1029/2022MS003563
- 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
- Disentangling the impact of Atlantic Niño on sea-air CO2 flux S. Koseki et al. 10.1038/s41467-023-38718-9
- Weak interannual variability of sea–air carbon flux in the Tropical Pacific Ocean simulated by CMIP6 models Y. Li et al. 10.1016/j.ocemod.2023.102300
- The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle A. Planchat et al. 10.5194/bg-20-1195-2023
- Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3 Ö. Gürses et al. 10.5194/gmd-16-4883-2023
- Impact of Increased Horizontal Resolution of an Ocean Model on Carbon Circulation in the North Pacific Ocean H. Tsujino et al. 10.1029/2023MS003720
- A Regime View of ENSO Flavors Through Clustering in CMIP6 Models P. Vaittinada Ayar et al. 10.1029/2022EF003460
- Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model S. Koseki et al. 10.5194/bg-21-4149-2024
- Equatorial Pacific pCO2 Interannual Variability in CMIP6 Models S. Wong et al. 10.1029/2022JG007243
13 citations as recorded by crossref.
- Observation-constrained estimates of the global ocean carbon sink from Earth system models J. Terhaar et al. 10.5194/bg-19-4431-2022
- Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability D. Couespel et al. 10.1038/s43247-024-01257-2
- Global Surface Ocean Acidification Indicators From 1750 to 2100 L. Jiang et al. 10.1029/2022MS003563
- 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
- Disentangling the impact of Atlantic Niño on sea-air CO2 flux S. Koseki et al. 10.1038/s41467-023-38718-9
- Weak interannual variability of sea–air carbon flux in the Tropical Pacific Ocean simulated by CMIP6 models Y. Li et al. 10.1016/j.ocemod.2023.102300
- The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle A. Planchat et al. 10.5194/bg-20-1195-2023
- Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3 Ö. Gürses et al. 10.5194/gmd-16-4883-2023
- Impact of Increased Horizontal Resolution of an Ocean Model on Carbon Circulation in the North Pacific Ocean H. Tsujino et al. 10.1029/2023MS003720
- A Regime View of ENSO Flavors Through Clustering in CMIP6 Models P. Vaittinada Ayar et al. 10.1029/2022EF003460
- Assessing the tropical Atlantic biogeochemical processes in the Norwegian Earth System Model S. Koseki et al. 10.5194/bg-21-4149-2024
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
The El Niño–Southern Oscillation is the main driver for the natural variability of global atmospheric CO2. It modulates the CO2 fluxes in the tropical Pacific with anomalous CO2 influx during El Niño and outflux during La Niña. This relationship is projected to reverse by half of Earth system models studied here under the business-as-usual scenario. This study shows models that simulate a positive bias in surface carbonate concentrations simulate a shift in the ENSO–CO2 flux relationship.
The El Niño–Southern Oscillation is the main driver for the natural variability of global...
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