ArticleProceedings. Mathematical, physical, and engineering sciences2021
Dynamical landscape and multistability of a climate model.
Article in Proceedings. Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Contrasting dynamics of past climate states and critical transitions via dimensional analysis.Scientific reports · 2025Article
- Multistability and intermediate tipping of the Atlantic Ocean circulation.Science advances · 2024Article
- A punctuated equilibrium analysis of the climate evolution of cenozoic exhibits a hierarchy of abrupt transitions.Scientific reports · 2023Article
- Stability analysis of chaotic systems from data.Nonlinear dynamics · 2023Article
- DADApy: Distance-based analysis of data-manifolds in Python.Patterns (New York, N.Y.) · 2022Article
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Authors and funding
4 authors.
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Abstract
We apply two independent data analysis methodologies to locate stable climate states in an intermediate complexity climate model and analyse their interplay. First, drawing from the theory of quasi-potentials, and viewing the state space as an energy landscape with valleys and mountain ridges, we infer the relative likelihood of the identified multistable climate states and investigate the most likely transition trajectories as well as the expected transition times between them. Second, harnessing techniques from data science, and specifically manifold learning, we characterize the data landscape of the simulation output to find climate states and basin boundaries within a fully agnostic and unsupervised framework. Both approaches show remarkable agreement, and reveal, apart from the well known warm and snowball earth states, a third intermediate stable state in one of the two versions of PLASIM, the climate model used in this study. The combination of our approaches allows to identify how the negative feedback of ocean heat transport and entropy production via the hydrological cycle drastically change the topography of the dynamical landscape of Earth's climate.
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