Observable, low-order dynamical controls on thresholds of the Atlantic meridional overturning circulation

Wood, R. A., Rodríguez, J. M., Smith, R. S. ORCID: https://orcid.org/0000-0001-7479-7778, Jackson, L. C. and Hawkins, E. ORCID: https://orcid.org/0000-0001-9477-3677 (2019) Observable, low-order dynamical controls on thresholds of the Atlantic meridional overturning circulation. Climate Dynamics, 53 (11). pp. 6815-6834. ISSN 0930-7575 doi: 10.1007/s00382-019-04956-1

Abstract/Summary

We examine the dynamics of thresholds of the Atlantic Meridional Overturning Circulation (AMOC) in an Atmosphere–Ocean General Circulation Model (AOGCM) and a simple box model. We show that AMOC thresholds in the AOGCM are controlled by low-order dynamics encapsulated in the box model. In both models, AMOC collapse is primarily initiated by the development of a strong salinity advection feedback in the North Atlantic. The box model parameters are potentially observable properties of the unperturbed (present day) ocean state, and when calibrated to a range of AOGCM states predict (within some error bars) the critical rate of fresh water input (Hcrit) needed to turn off the AMOC in the AOGCM. In contrast, the meridional fresh water transport by the MOC (MOV, a widely-used diagnostic of AMOC bi-stability) on its own is a poor predictor of Hcrit. When the AOGCM is run with increased atmospheric carbon dioxide, Hcrit increases. We use the dynamical understanding from the box model to show that this increase is due partly to intensification of the global hydrological cycle and heat penetration into the near-surface ocean, both robust features of climate change projections. However changes in the gyre fresh water transport efficiency (a less robustly modelled process) are also important.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/87278
Identification Number/DOI	10.1007/s00382-019-04956-1
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Springer
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