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Related Experiment Video

Updated: May 23, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Stochastic tipping points in climate dynamics.

Stefano Pierini¹

¹Dipartimento di Scienze per l'Ambiente, Università di Napoli Parthenope, Naples, Italy. stefano.pierini@uniparthenope.it

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|April 3, 2012

Summary

Abrupt climate transitions may not be caused by tipping points (TPs). Instead, fast, noisy dynamics and coherence resonance are more influential in excitable climate systems. TPs may have limited physical meaning in these conditions.

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Last Updated: May 23, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Area of Science:

Climate Dynamics
Ocean Modeling
Stochastic Processes

Background:

Investigates the cause of abrupt climate transitions: tipping points (TPs) or noisy dynamics.
Examines the role of noise in excitable dynamical systems, relevant to climate conditions.

Purpose of the Study:

To determine the physical meaning of tipping points (TPs) in noisy, excitable climate systems.
To explore the predominant mechanisms driving climate transitions under stochastic perturbation.

Main Methods:

Utilized a low-order ocean model for a case study analysis.
Employed an operational definition of stochastic tipping points (TPs) accounting for noise effects.

Main Results:

Found that tipping points (TPs) may have limited physical meaning in excitable systems with noise.
Identified coherence resonance as a predominant mechanism in fast noisy dynamics driving transitions.
Reconciled tipping point (TP) and coherence resonance views through a stochastic definition.

Conclusions:

Suggests that fast noisy dynamics and coherence resonance are key drivers of abrupt climate transitions.
Highlights the limited physical relevance of traditional tipping points (TPs) in stochastic climate scenarios.
Proposes a new framework integrating noise effects for understanding climate system dynamics.