Preprints
https://doi.org/10.5194/egusphere-2026-6314
https://doi.org/10.5194/egusphere-2026-6314
22 Oct 2026
 | 22 Oct 2026
Status: this preprint is open for discussion and under review for Ocean Science (OS).

Centennial persistence of subantarctic water mass anomalies after a reversal of CO2 forcing

Yavor Kostov, Andrew J. S. Meijers, Paul R. Holland, Robin S. Smith, Jing Jin, and Antony J. Payne

Abstract. We use machine learning analysis to classify subantarctic water masses and explore the centennial-timescale persistence of their anomalies under idealized atmospheric CO2 ramp-up and ramp-down simulations in a general circulation model. Our definitions of individually labelled water masses are not based on fixed density and temperature ranges, arbitrary thresholds, or many of the other subjective choices that may not be universally applicable across observations and models, but only on the ocean layers’ relative differences in stratification, salinity, temperature, and density. These novel flexible definitions adapt under the anomalous warming, freshening or salinification, lightening, and increased stratification of the water masses in simulations forced with an increase followed by a decline in the atmospheric CO2 concentration after a 2°C or a 4°C global warming peak. Without such flexible water mass definitions, analysis of ocean layers would suggest an apparent depletion or even disappearance of some water mases in a warming world. Under emission scenarios with a higher peak warming, intermediate waters and Lower Circumpolar Deep Water decrease in volume, while the volumes of Subantarctic Mode Water (SAMW) remains approximately the same, and the reservoir of accumulated Antarctic Bottom Water (AABW) shows a local expansion. The flexibility of our machine-learning approach allows us to study the persistence of subantarctic ocean anomalies on centennial timescales as global warming is subsequently reversed. Subantarctic Mode Water shows freshening that becomes persistent on centennial timescales after a +4°C global warming peak. Intermediate and Circumpolar Deep Waters also show persistent freshening on these timesales, while Antarctic Bottom Water exhibits centennially persistent salinification both after a +2°C and a +4°C global warming peak. The slowest rates of recovery of temperature and density as CO2 concentrations decline are seen in the deep ocean layers mixed with North Atlantic source waters. In terms of magnitude, the largest temperature anomalies that persist once the CO2 concentration is returned to preindustrial values are seen in the subtropical waters and in Upper Circumpolar Deep Water. Across subantarctic water masses, the temperature and volume anomalies that arise for warming of up to +4°C do not recover on centennial timescales when negative CO2 emissions are imposed. The anomalous warming of Circumpolar Deep Water and Antarctic Bottom Water exhibits persistence even after a +2°C global warming peak.

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Yavor Kostov, Andrew J. S. Meijers, Paul R. Holland, Robin S. Smith, Jing Jin, and Antony J. Payne

Status: open (until 17 Dec 2026)

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Yavor Kostov, Andrew J. S. Meijers, Paul R. Holland, Robin S. Smith, Jing Jin, and Antony J. Payne
Yavor Kostov, Andrew J. S. Meijers, Paul R. Holland, Robin S. Smith, Jing Jin, and Antony J. Payne
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Latest update: 22 Oct 2026
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Short summary
We use machine learning to identify subantarctic water masses in model simulations where increased atmospheric CO2 concentrations induce substantial global warming, and where present-day definitions of ocean layers no longer hold. We then explore how anomalies in the subantarctic water mass properties persist on centennial timescales even after CO2 concentrations are reduced.
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