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Limits to predictability of the asymptotic state of the Atlantic Meridional Overturning Circulation in a conceptual climate model

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posted on 2024-03-05, 16:12 authored by O Mehling, R Börner, V Lucarini
Anticipating critical transitions in the Earth system is of great societal relevance, yet there may be intrinsic limitations to their predictability. For instance, the asymptotic state of a dynamical system possessing multiple chaotic attractors depends sensitively on the initial condition in the proximity of a fractal basin boundary. Here, we approach the problem of final-state sensitivity of the Atlantic Meridional Overturning Circulation (AMOC) using a conceptual climate model, composed of a slow bistable ocean coupled to a fast chaotic atmosphere. First, we explore the occurrence of long chaotic transients in the monostable regime, which can mask a loss of stability near bifurcations. In the bistable regime, we explicitly construct the chaotic saddle using the edge tracking technique. We quantify the final-state sensitivity through the maximum Lyapunov exponent and the lifetime of the saddle and find that the system exhibits a fractal basin boundary with almost full phase space dimension, implying vanishing predictability of the second kind near the basin boundary. Our results demonstrate the usefulness of studying non-attracting chaotic sets in the context of predicting climatic tipping points, and provide guidance for the interpretation of critical transitions in higher-dimensional climate models.

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956170 (CriticalEarth) and under grant agreement No 820970 (TiPES). VL has received support from the University of Reading’s RETF Open Science project CROPS

History

Author affiliation

College of Science & Engineering/Comp' & Math' Sciences

Version

  • VoR (Version of Record)

Published in

Physica D: Nonlinear Phenomena

Volume

459

Pagination

134043

Publisher

Elsevier BV

issn

0167-2789

Copyright date

2024

Available date

2024-03-05

Language

en

Deposited by

Professor Valerio Lucarini

Deposit date

2024-02-26

Data Access Statement

Source code is available at https://github.com/omehling/amoc-edgetrack and archived at https://doi.org/10.5281/zenodo.10370900 [83]. Code and data to reproduce the figures can be obtained on request from the corresponding author.

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