Abstract
Climate projections suggest a weakening or collapse of the Atlantic Meridional Overturning Circulation (AMOC) under global warming, with evidence that a slowdown is already underway. This could have significant ramifications for Atlantic Ocean heat transport, Arctic sea ice extent and regional North Atlantic climate. However, the potential for far-reaching effects, such as teleconnections to adjacent basins and into the Southern Hemisphere, remains unclear. Here, using a global climate model we show that AMOC collapse can accelerate the Pacific trade winds and Walker circulation by leaving an excess of heat in the tropical South Atlantic. This tropical warming drives anomalous atmospheric convection, resulting in enhanced subsidence over the east Pacific and a strengthened Walker circulation and trade winds. Further teleconnections include weakening of the Indian and South Atlantic subtropical highs and deepening of the Amundsen Sea Low. These findings have important implications for understanding the global climate response to ongoing greenhouse gas increases.
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Data availability
The ERA5 data used in the study can be downloaded from the Copernicus Climate Change Service (C3S) Climate Date Store (https://cds.climate.copernicus.eu/). The CMIP data analysed can be downloaded from the Earth System Grid Federation portal (https://esgf-node.llnl.gov/). Data generated from the coupled climate model simulations can be downloaded from ref. 66.
Code availability
Python scripts used for the analysis described in this study can be obtained from B.O.P. on request.
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Acknowledgements
A.S.T. and M.H.E. are supported by the Australian Research Council (grant numbers FT160100495, CE170100023 and SR200100008) and the Earth Science and Climate Change Hub of the Australian Government’s National Environmental Science Programme. M.H.E. also acknowledges support from the Centre for Southern Hemisphere Oceans Research (a joint research centre between QNLM, CSIRO, UNSW and UTAS). B.O.P. thanks C. Bitz for assisting with the code to set up the experiment. We thank J. Kajtar, S. McGregor and A. Sen Gupta for early discussions on aspects of this work. We thank W. Cai for making available the intermodel analysis of Atlantic–Pacific teleconnections shown in Extended Data Fig. 1 and R. Goyal for providing the CMIP5 and CMIP6 zonal wind speed data used to plot Extended Data Fig. 7. All model simulations were conducted on the Australian National Computing Infrastructure Facility in Canberra, Australia.
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M.H.E. conceived the design and scope of the study. B.O.P. undertook the model simulations, data analysis and plotted the figures with input from M.H.E. and A.S.T. A.S.T. produced the schematic diagram with input from M.H.E. and B.O.P. All authors contributed to the analysis, discussion, interpretation and writing of the paper.
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Extended data
Extended Data Fig. 1 Model intercomparison of Atlantic–Pacific teleconnection strength.
(a) Regressions between 11-year running trends in Pacific trade winds and 11-year running trends in the Atlantic–Pacific trans-basin index. Shown in red and blue are the models that are the most and least similar in reproducing the observed regressions (green bar), respectively, with the yellow bar indicating CESM1-CAM4 (equivalent to CCSM4) as used in this study. The Atlantic–Pacific trans-basin index is defined as the tropical Atlantic (20°S to 20°N; 70°W to 20°E) minus tropical Pacific (20°S to 20°N; 121°E to 90°W) SST gradient. (b) Future projections of equatorial (5°S to 5°N) SST (per degree of global warming) in two ensembles of 10 CMIP5 models (thin curves) with a strong (red) and weak (blue) coupling between decadal trends of the Atlantic–Pacific trans-basin index and equatorial Pacific trade winds. Changes are calculated as the difference in averages between RCP8.5 2070–2099 and the historical 1980–2009 period, divided by the global mean SST change over the same periods. The broad thick curves indicate where the difference between the two ensemble means (indicated by solid curves) is significant at 95% confidence level, based on a Student t-test. (c) Difference in climatological SST changes between the two 10-model ensemble means. Stippling indicates areas where the ensemble mean difference is significant at the 95% confidence level, based on a Student t-test. The colour scale in (c) indicates temperature in °C. Figure is an extended version of Fig. 5 from ref. 59.
Extended Data Fig. 2 Transient evolution of the Pacific climate response to AMOC shutdown.
(a) Anomalies of sea surface temperature (°C) and 850 hPa winds (m/s; overlaid as vectors), calculated for AMOC-off relative to AMOC-on and averaged over years 51–100 of the ensemble sets of experiments. (b) Transient evolution of the difference between AMOC-off and AMOC-on for equatorial Pacific sea surface temperature (°C; purple line) and Pacific trade winds, calculated based on the 850 hPa zonal wind speed (m/s; orange line); the latter is a measure of the strength of the lower branch of the Walker circulation35,62. Time series shown are 10 year running means. The 5 ensemble member difference time series are shown for each ensemble in thin lines, with the ensemble averages shown in solid bold lines. The areas for the spatial averages of each variable are shown in panel (a) as colour-coded rectangles.
Extended Data Fig. 3 Transient evolution of geopotential height at 200 hPa in response to AMOC shutdown.
Anomalies of geopotential height at 200 hPa with zonal mean removed in response to a meltwater-induced AMOC shutdown (AMOC-off ensemble mean minus AMOC-on ensemble mean). Each panel shows decadal mean anomalies of geopotential height at 200 hPa with zonal mean removed (m), with regions showing significant differences hatched based on a Student t-test at 95% significance level.
Extended Data Fig. 4 Transient evolution of precipitation in response to AMOC shutdown.
Anomalies are shown as the AMOC-off ensemble mean minus AMOC-on ensemble mean. Each panel shows decadal mean anomalies of precipitation (mm/day), with regions showing significant differences hatched based on a Student t-test at 95% significance level.
Extended Data Fig. 5 Transient evolution of equatorial atmospheric circulation and vertical velocity in response to AMOC shutdown.
Anomalies are shown as the AMOC-off ensemble mean minus AMOC-on ensemble mean. Each panel shows decadal mean anomalies of equatorial (5˚S–5˚N) mean atmospheric circulation (streamlines) and vertical velocity (shading; Omega, Pa/s).
Extended Data Fig. 6 Decomposition of the Walker circulation response to AMOC shutdown north and south of the Equator.
Annual mean anomalies of equatorial mean atmospheric circulation (streamlines) and vertical velocity (shading; Omega, Pa/s) in response to an AMOC shutdown (AMOC-off ensemble mean minus AMOC-on ensemble mean, averaged over years 51–100) decomposed into the latitudes (a) north (0˚-5˚N) and (b) south (5˚S-0˚) of the Equator.
Extended Data Fig. 7 Comparison between the Walker circulation increase due to AMOC shutdown vs. that projected by climate models for 2050–2100.
Histogram of future projections in the lower branch of the Pacific Walker circulation, as measured by the percentage change in 850 hPa zonal winds averaged over the equatorial Pacific (5°S–5°N, 150°E –150°W)35,62 during the 2050–2100 period relative to 1950–2000 (blue dashed line indicates the median change). A 51-year average is selected to filter out variability due to the Interdecadal Pacific Oscillation. All up 28 CMIP5 and 31 CMIP6 models are used under the RCP8.5 and SSP5-8.5 high-end emission scenarios, respectively. The red dotted line indicates the change of the same metric in the AMOC-off ensemble mean, relative to AMOC-on. Percentage values (%) quoted are rounded to the nearest percentage point.
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Orihuela-Pinto, B., England, M.H. & Taschetto, A.S. Interbasin and interhemispheric impacts of a collapsed Atlantic Overturning Circulation. Nat. Clim. Chang. 12, 558–565 (2022). https://doi.org/10.1038/s41558-022-01380-y
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DOI: https://doi.org/10.1038/s41558-022-01380-y
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