Southern Hemisphere westerlies as a driver of the early deglacial atmospheric CO2 rise

The early part of the last deglaciation is characterised by a similar to 40 ppm atmospheric CO2 rise occurring in two abrupt phases. The underlying mechanisms driving these increases remain a subject of intense debate. Here, we successfully reproduce changes in CO2, delta C-13 and Delta C-14 as reco...

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Bibliographic Details
Published in:Nature Communications
Main Authors: Menviel, L, Spence, Paul, Yu, Jimin, Chamberlain, M A, Matear, R.J., Meissner, K.J., England, Matthew Heathcote
Format: Article in Journal/Newspaper
Language:English
Published: Macmillan Publishers Ltd
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Online Access:http://hdl.handle.net/1885/202966
https://doi.org/10.1038/s41467-018-04876-4
https://openresearch-repository.anu.edu.au/bitstream/1885/202966/5/01_Menviel_Southern_Hemisphere_westerlies_2018.pdf.jpg
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Summary:The early part of the last deglaciation is characterised by a similar to 40 ppm atmospheric CO2 rise occurring in two abrupt phases. The underlying mechanisms driving these increases remain a subject of intense debate. Here, we successfully reproduce changes in CO2, delta C-13 and Delta C-14 as recorded by paleo-records during Heinrich stadial 1 (HS1). We show that HS1 CO2 increase can be explained by enhanced Southern Ocean upwelling of carbon-rich Pacific deep and intermediate waters, resulting from intensified Southern Ocean convection and Southern Hemisphere (SH) westerlies. While enhanced Antarctic Bottom Water formation leads to a millennial CO2 outgassing, intensified SH westerlies induce a multi-decadal atmospheric CO2 rise. A strengthening of SH westerlies in a global eddy-permitting ocean model further supports a multi-decadal CO2 outgassing from the Southern Ocean. Our results highlight the crucial role of SH westerlies in the global climate and carbon cycle system with important implications for future climate projections. This project was supported by the Australian Research Council. L. Menviel, K. Meissner, P. Spence and J. Yu acknowledge funding from the Australian Research Council grants DE150100107, DP180100048, DE150100223, FT140100993 and DP140101393 as well as from NSFC41676026. K. Meissner acknowledges support from the UNSW Science Goldstar award.