Resilience of the Atlantic meridional overturning circulation

We address the issue of resilience of the Atlantic Meridional Overturning Circulation (AMOC) given the many indications that this dynamical system is in a multi-stable regime. A novel approach to resilience based on rare event techniques is presented, which leads to a measure capturing "resistance to change" and "ability to return" aspects in a probabilistic way. The application of this measure to a conceptual model demonstrates its suitability for assessing AMOC resilience but also shows its potential use in many other non-autonomous dynamical systems. This framework is then extended to compute the probability that the AMOC undergoes a transition conditioned on an external forcing. Such conditional probability can be estimated by exploiting the information available when computing the resilience of this system. This allows us to provide a probabilistic view on safe operating spaces by defining a conditional safe operating space as a subset of the parameter space of the (possibly transient) imposed forcing.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0226410
Citations
1
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
0.28

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article

Resilience of the Atlantic meridional overturning circulation

Christian Kuehn, Henk A. Dijkstra, Valérian Jacques-Dumas
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Ecosystem dynamics and resilience
0.28
article

Resilience of the Atlantic meridional overturning circulation

Christian Kuehn, Henk A. Dijkstra, Valérian Jacques-Dumas
article en
1 citations

Abstract

We address the issue of resilience of the Atlantic Meridional Overturning Circulation (AMOC) given the many indications that this dynamical system is in a multi-stable regime. A novel approach to resilience based on rare event techniques is presented, which leads to a measure capturing "resistance to change" and "ability to return" aspects in a probabilistic way. The application of this measure to a conceptual model demonstrates its suitability for assessing AMOC resilience but also shows its potential use in many other non-autonomous dynamical systems. This framework is then extended to compute the probability that the AMOC undergoes a transition conditioned on an external forcing. Such conditional probability can be estimated by exploiting the information available when computing the resilience of this system. This allows us to provide a probabilistic view on safe operating spaces by defining a conditional safe operating space as a subset of the parameter space of the (possibly transient) imposed forcing.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 34(12)
Utrecht University (NL), Technical University of Munich (DE)
HORIZON EUROPE Framework Programme, HORIZON EUROPE Marie Sklodowska-Curie Actions, HORIZON EUROPE European Research Council
Climate action
Openalex Percentile: Top 39%
Ecosystem dynamics and resilience
0.28
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