Climate tipping might be predicted using algebraic topology

Uh…no comment~cr


Theoretical progress in climate science indicates algebraic topology applied to reduced climate models might help predict if and when the Earth system will tip

Peer-Reviewed Publication

UNIVERSITY OF COPENHAGEN – FACULTY OF SCIENCE

IMAGE: A BRIEF OVERVIEW OF THE FINDINGS. view more 
CREDIT: TIPES/HP

The Earth’s climate system seems to have shifted abruptly between colder and warmer modes in the past. Do we risk the same today from anthropogenic climate change? Frankly, climate models cannot answer that question yet. But a result in the journal Chaos by Gisela D. Charó, Mickaël D. Chekroun, Denisse Sciamarella and Michael Ghil suggests a way to resolve the matter. Analyzing a model that combines the two leading theories for climate change with algebraic topology tools, the authors show that the climate system indeed progresses through abrupt transitions, also known as tipping points. These tools are applicable to reduced climate models and they well might help assess whether the Earth’s climate system on a whole is about to tip due to global warming. The work is part of the TiPES project, a European science collaboration on tipping points in the Earth system.

How does the climate evolve?

”It is one of the truly unsolved mysteries about the climate sciences, that we are trying to get at,” explains Michael Ghil, École Normale Supérieure, Paris, France.

There have been essentially two complementary views of what makes climate evolve. One is the deterministically chaotic view of Edward Lorenz. This is the chaos theory that is widely known through the idea that a butterfly flapping its wings on one continent can be the origin of a raging storm on another continent.

The other view is that of Klaus Hasselmann, the recent Nobel Prize winner, who said the climate system is stochastic and everything fluctuates but regresses to the mean.

The combination looks strange

”We have earlier, in 2008, brought these two theories together and shown that things get a lot more interesting if you have both deterministic chaos and stochastic perturbations,” says Michael Ghil.

The result from 2008, a so-called random attractor, can be seen in a video here, https://vimeo.com/240039610.

This random attractor changes with time. The shape it takes at a given instant, called a snapshot, determines where the climate system is most likely to be. It has not been clear, however, how to interpret the random attractor’s changes in time. What does its changing path mean for our understanding of the climate? Algebraic topology now helps with that.

Abrupt changes

Algebraic topology is quite abstract but its results are easy to understand. If two systems’ geometric objects are qualitatively similar, they contain the same number of holes.

The analysis in Chaos of the climate’s random attractor reveals that, over time, holes appear and disappear. This means the system shifts between different regimes. The transitions seem to be instantaneous. And because the analysis in effect reveals changes in the most fundamental properties of the physical system being analysed, the results suggest that the nature of Earth’s climate indeed is to evolve through abrupt transitions – commonly known as tipping points.

Early warning

The method might have implications for predicting an eventual tipping of the climate system. Today, such a tipping of the entire climate system is much too complicated an occurrence to establish an early warning system for. However, algebraic topology could be the answer.

”This is a fairly robust method of establishing critical conditions in very complex situations. So I think that it should be possible to use these tools in order to really foreshadow transitions in a system that is as complex as the climate system,” says Michael Ghil.

Success in carrying out this program, however, will depend on whether climate models can be reduced to manageable sizes for analysis with the algebraic topology tools used in this work.

Contributors to this work.

Gisela D. Charó, CONICET – Universidad de Buenos Aires (UBA), Argentina; and the CNRS – IRD – CONICET – UBA. Institut Franco-Argentin d’Études sur le Climat et ses Impacts, Argentina. Mickaël D. Chekroun, the Weizmann Institute of Science, Rehovot, Israel. Denisse Sciamarella, CNRS – Centre National de la Recherche Scientifique, Paris, France, and CNRS – IRD – CONICET – UBA. Institut Franco-Argentin d’Études sur le Climat et ses Impacts, CABA, Argentina. Michael Ghil, Geosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure and PSL University, Paris, France, and Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, California, USA.

The TiPES project is an EU Horizon 2020 interdisciplinary climate science project on tipping points in the Earth system. 18 partner institutions work together in more than 10 countries. TiPES is coordinated and led by The Niels Bohr Institute at the University of Copenhagen, Denmark and the Potsdam Institute for Climate Impact Research, Germany. The TiPES project has received funding from the European Horizon 2020 research and innovation program, grant agreement number 820970.


JOURNAL

Chaos An Interdisciplinary Journal of Nonlinear Science

DOI

10.1063/5.0059461 

METHOD OF RESEARCH

Computational simulation/modeling

SUBJECT OF RESEARCH

Not applicable

ARTICLE TITLE

Noise-driven topological changes in chaotic dynamics

ARTICLE PUBLICATION DATE

12-Oct-2021

Like this:

Like Loading…

Related

via Watts Up With That?

https://ift.tt/3nhollz

October 22, 2021 at 12:25AM

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s