Abstract
The effect of anthropogenic climate change in the ocean is challenging to project because atmosphere-ocean general circulation models (AOGCMs) respond differently to forcing. This study focuses on changes in the Atlantic Meridional Overturning Circulation (AMOC), ocean heat content (Δ OHC), and the spatial pattern of ocean dynamic sea level (Δ ζ). We analyse experiments following the FAFMIP protocol, in which AOGCMs are forced at the ocean surface with standardised heat, freshwater and momentum flux perturbations, typical of those produced by doubling CO 2. Using two new heat-flux-forced experiments, we find that the AMOC weakening is mainly caused by and linearly related to the North Atlantic heat flux perturbation, and further weakened by a positive coupled heat flux feedback. The quantitative relationships are model-dependent, but few models show significant AMOC change due to freshwater or momentum forcing, or to heat flux forcing outside the North Atlantic. AMOC decline causes warming at the South Atlantic-Southern Ocean interface. It does not strongly affect the global-mean vertical distribution of Δ OHC, which is dominated by the Southern Ocean. AMOC decline strongly affects Δ ζ in the North Atlantic, with smaller effects in the Southern Ocean and North Pacific. The ensemble-mean Δ ζ and Δ OHC patterns are mostly attributable to the heat added by the flux perturbation, with smaller effects from ocean heat and salinity redistribution. The ensemble spread, on the other hand, is largely due to redistribution, with pronounced disagreement among the AOGCMs.
Original language | English (US) |
---|---|
Pages (from-to) | 2003-2039 |
Number of pages | 37 |
Journal | Climate Dynamics |
Volume | 60 |
Issue number | 7-8 |
DOIs | |
State | Published - Apr 2023 |
Keywords
- AMOC
- Climate modelling
- Sea-level rise
ASJC Scopus subject areas
- Atmospheric Science
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In: Climate Dynamics, Vol. 60, No. 7-8, 04.2023, p. 2003-2039.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Greenhouse-gas forced changes in the Atlantic meridional overturning circulation and related worldwide sea-level change
AU - Couldrey, Matthew P.
AU - Gregory, Jonathan M.
AU - Dong, Xiao
AU - Garuba, Oluwayemi
AU - Haak, Helmuth
AU - Hu, Aixue
AU - Hurlin, William J.
AU - Jin, Jiangbo
AU - Jungclaus, Johann
AU - Köhl, Armin
AU - Liu, Hailong
AU - Ojha, Sayantani
AU - Saenko, Oleg A.
AU - Savita, Abhishek
AU - Suzuki, Tatsuo
AU - Yu, Zipeng
AU - Zanna, Laure
N1 - Funding Information: We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. We thank the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. This work was supported in part by Grant NE/R000727/1 from the UK Natural Environment Research Council as a contribution to the WCRP’s Grand Challenge on Regional Sea Level Change and Coastal Impacts. XD and J. Jin were supported by Grant 41991282 from the National Natural Science Foundation of China. OG was supported by the DOE Office of Science Biological and Environmental Research (BER), as a contribution to the HiLAT-RASM project. Contribution from HH was supported by Max Planck Society for the Advancement of Science. AH was supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling (EESM) program of the U.S. Department of Energy’s Office of Science Biological and Environmental Research (BER), as a contribution to the CATALYST project. Contributions from J. Jungclaus, AK and SO were supported in part through the Deutsche Forschungs Gemeinschaft (DFG) as part of the SPP 1889 on “Regional sea level change and society”. HL and ZY were supported by Grant 41931183 from the National Natural Science Foundation of China. ACCESS-CM2 simulations were supported by NCMAS and NCI-STRESS2020 grants through the National Computing Infrastructure National Facility at the Australian National University. AS was supported by a Tasmanian Graduate Research Scholarship and CSIRO-UTAS Quantitative Marine Science top-up and by the Australian Research Council (ARC) (CE170100023; DP160103130) and by projects jointly funded through CSIRO and the Earth Systems and Climate Change Hub of the Australian Government’s National Environmental Science Programme. AS is thankful for the support from the Consortium for Ocean-Sea Ice Modelling in Australia (COSIMA). TS was supported by the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number JPMXD0717935457. LZ was supported by the Natural Environment Research Council (NERC) Grant NE/R000727/1 (UKFAFMIP), NE/P019218/1 (TICTOC), and NSF GEO 2048576. The authors gratefully acknowledge the input of the anonymous reviewers and Quran Wu, whose feedback improved the quality and clarity of this work. Funding Information: We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. We thank the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. This work was supported in part by Grant NE/R000727/1 from the UK Natural Environment Research Council as a contribution to the WCRP’s Grand Challenge on Regional Sea Level Change and Coastal Impacts. XD and J. Jin were supported by Grant 41991282 from the National Natural Science Foundation of China. OG was supported by the DOE Office of Science Biological and Environmental Research (BER), as a contribution to the HiLAT-RASM project. Contribution from HH was supported by Max Planck Society for the Advancement of Science. AH was supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling (EESM) program of the U.S. Department of Energy’s Office of Science Biological and Environmental Research (BER), as a contribution to the CATALYST project. Contributions from J. Jungclaus, AK and SO were supported in part through the Deutsche Forschungs Gemeinschaft (DFG) as part of the SPP 1889 on “Regional sea level change and society”. HL and ZY were supported by Grant 41931183 from the National Natural Science Foundation of China. ACCESS-CM2 simulations were supported by NCMAS and NCI-STRESS2020 grants through the National Computing Infrastructure National Facility at the Australian National University. AS was supported by a Tasmanian Graduate Research Scholarship and CSIRO-UTAS Quantitative Marine Science top-up and by the Australian Research Council (ARC) (CE170100023; DP160103130) and by projects jointly funded through CSIRO and the Earth Systems and Climate Change Hub of the Australian Government’s National Environmental Science Programme. AS is thankful for the support from the Consortium for Ocean-Sea Ice Modelling in Australia (COSIMA). TS was supported by the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number JPMXD0717935457. LZ was supported by the Natural Environment Research Council (NERC) Grant NE/R000727/1 (UKFAFMIP), NE/P019218/1 (TICTOC), and NSF GEO 2048576. The authors gratefully acknowledge the input of the anonymous reviewers and Quran Wu, whose feedback improved the quality and clarity of this work. Funding Information: This work was supported in part by Grant NE/R000727/1 from the UK Natural Environment Research Council as a contribution to the WCRP’s Grand Challenge on Regional Sea Level Change and Coastal Impacts. XD and J. Jin were supported by Grant 41991282 from the National Natural Science Foundation of China. OG was supported by the DOE Office of Science Biological and Environmental Research (BER), as a contribution to the HiLAT-RASM project. Contribution from HH was supported by Max Planck Society for the Advancement of Science. AH was supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling (EESM) program of the U.S. Department of Energy’s Office of Science Biological and Environmental Research (BER), as a contribution to the CATALYST project. Contributions from J. Jungclaus, AK and SO were supported in part through the Deutsche Forschungs Gemeinschaft (DFG) as part of the SPP 1889 on “Regional sea level change and society”. HL and ZY were supported by Grant 41931183 from the National Natural Science Foundation of China. ACCESS-CM2 simulations were supported by NCMAS and NCI-STRESS2020 grants through the National Computing Infrastructure National Facility at the Australian National University. AS was supported by a Tasmanian Graduate Research Scholarship and CSIRO-UTAS Quantitative Marine Science top-up and by the Australian Research Council (ARC) (CE170100023; DP160103130) and by projects jointly funded through CSIRO and the Earth Systems and Climate Change Hub of the Australian Government’s National Environmental Science Programme. TS was supported by the Integrated Research Program for Advancing Climate Models (TOUGOU) Grant Number JPMXD0717935457. LZ was supported by the Natural Environment Research Council (NERC) Grant NE/R000727/1 (UKFAFMIP), NE/P019218/1 (TICTOC), and NSF GEO 2048576. Publisher Copyright: © 2022, The Author(s).
PY - 2023/4
Y1 - 2023/4
N2 - The effect of anthropogenic climate change in the ocean is challenging to project because atmosphere-ocean general circulation models (AOGCMs) respond differently to forcing. This study focuses on changes in the Atlantic Meridional Overturning Circulation (AMOC), ocean heat content (Δ OHC), and the spatial pattern of ocean dynamic sea level (Δ ζ). We analyse experiments following the FAFMIP protocol, in which AOGCMs are forced at the ocean surface with standardised heat, freshwater and momentum flux perturbations, typical of those produced by doubling CO 2. Using two new heat-flux-forced experiments, we find that the AMOC weakening is mainly caused by and linearly related to the North Atlantic heat flux perturbation, and further weakened by a positive coupled heat flux feedback. The quantitative relationships are model-dependent, but few models show significant AMOC change due to freshwater or momentum forcing, or to heat flux forcing outside the North Atlantic. AMOC decline causes warming at the South Atlantic-Southern Ocean interface. It does not strongly affect the global-mean vertical distribution of Δ OHC, which is dominated by the Southern Ocean. AMOC decline strongly affects Δ ζ in the North Atlantic, with smaller effects in the Southern Ocean and North Pacific. The ensemble-mean Δ ζ and Δ OHC patterns are mostly attributable to the heat added by the flux perturbation, with smaller effects from ocean heat and salinity redistribution. The ensemble spread, on the other hand, is largely due to redistribution, with pronounced disagreement among the AOGCMs.
AB - The effect of anthropogenic climate change in the ocean is challenging to project because atmosphere-ocean general circulation models (AOGCMs) respond differently to forcing. This study focuses on changes in the Atlantic Meridional Overturning Circulation (AMOC), ocean heat content (Δ OHC), and the spatial pattern of ocean dynamic sea level (Δ ζ). We analyse experiments following the FAFMIP protocol, in which AOGCMs are forced at the ocean surface with standardised heat, freshwater and momentum flux perturbations, typical of those produced by doubling CO 2. Using two new heat-flux-forced experiments, we find that the AMOC weakening is mainly caused by and linearly related to the North Atlantic heat flux perturbation, and further weakened by a positive coupled heat flux feedback. The quantitative relationships are model-dependent, but few models show significant AMOC change due to freshwater or momentum forcing, or to heat flux forcing outside the North Atlantic. AMOC decline causes warming at the South Atlantic-Southern Ocean interface. It does not strongly affect the global-mean vertical distribution of Δ OHC, which is dominated by the Southern Ocean. AMOC decline strongly affects Δ ζ in the North Atlantic, with smaller effects in the Southern Ocean and North Pacific. The ensemble-mean Δ ζ and Δ OHC patterns are mostly attributable to the heat added by the flux perturbation, with smaller effects from ocean heat and salinity redistribution. The ensemble spread, on the other hand, is largely due to redistribution, with pronounced disagreement among the AOGCMs.
KW - AMOC
KW - Climate modelling
KW - Sea-level rise
UR - http://www.scopus.com/inward/record.url?scp=85135345822&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135345822&partnerID=8YFLogxK
U2 - 10.1007/s00382-022-06386-y
DO - 10.1007/s00382-022-06386-y
M3 - Article
AN - SCOPUS:85135345822
SN - 0930-7575
VL - 60
SP - 2003
EP - 2039
JO - Climate Dynamics
JF - Climate Dynamics
IS - 7-8
ER -