Preprints
https://doi.org/10.5194/egusphere-2025-2074
https://doi.org/10.5194/egusphere-2025-2074
04 Jun 2025
 | 04 Jun 2025

The effect of noise on the stability of convection in a conceptual model of the North Atlantic subpolar gyre

Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt

Abstract. The North Atlantic subpolar gyre (SPG) plays a fundamental role in the Atlantic ocean circulation by providing an important connection between the subtropical Atlantic and the Arctic. It is driven by both wind and density differences that are, in part, caused by convection in the Labrador Sea. Through this deep convection site, the SPG is also linked to the AMOC. There is considerable evidence that this area of convection may diminish or shift in a changing climate. For this reason, the convection in the SPG is considered a tipping point. Here, we extensively study a conceptual model of the SPG to characterize the stability of convection in the gyre. The bifurcation structure of this model is analyzed in order to identify bistable parameter regions. For a range of gyre salinity and freshwater forcing levels the gyre is found to have both convective and non-convective states. Furthermore, noise-induced transitions between convective and non-convective states are possible for a wide range of parameter values. Convection in the SPG becomes increasingly unstable as the gyre salinity decreases and the freshwater forcing increases. However, convection never fully stops and can always restart after a period of no convection. This indicates that, at least in this conceptual model, a collapse of convection in the SPG does not have to be permanent.

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Journal article(s) based on this preprint

18 Dec 2025
The effect of noise on the stability of convection in a conceptual model of the North Atlantic subpolar gyre
Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt
Earth Syst. Dynam., 16, 2273–2293, https://doi.org/10.5194/esd-16-2273-2025,https://doi.org/10.5194/esd-16-2273-2025, 2025
Short summary
Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (15 Oct 2025) by Richard Betts
AR by Koen van der Heijden on behalf of the Authors (19 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Nov 2025) by Richard Betts
RR by Anonymous Referee #1 (28 Nov 2025)
ED: Publish as is (07 Dec 2025) by Richard Betts
AR by Koen van der Heijden on behalf of the Authors (11 Dec 2025)

Journal article(s) based on this preprint

18 Dec 2025
The effect of noise on the stability of convection in a conceptual model of the North Atlantic subpolar gyre
Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt
Earth Syst. Dynam., 16, 2273–2293, https://doi.org/10.5194/esd-16-2273-2025,https://doi.org/10.5194/esd-16-2273-2025, 2025
Short summary
Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt

Model code and software

SPG-convection Koen Joris van der Heijden https://zenodo.org/doi/10.5281/zenodo.15332921

Koen J. van der Heijden, Swinda K. J. Falkena, and Anna S. von der Heydt

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Short summary
The North Atlantic subpolar gyre is a counter-clockwise flowing ocean current that is partly driven by convection. There are indications that the convection in the subpolar gyre region can stop under climate change, with potentially large consequences for the wider North Atlantic. Here, we study a simple model of the subpolar gyre and find that in the scenarios we study, convection never stops permanently. This provides useful context for interpreting more complex models and observations.
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