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Physics - Improving Assessments of Climate Tipping Points

Improving Assessments of Climate Tipping Points

From the last ice age until 6000 years ago, what we now know as the Sahara Desert was green and wet. This “African humid period” ended abruptly, but researchers don’t know whether the change was a result of random fluctuations whose average changed gradually over time or of a growing external influence that eventually pushed the climate beyond a critical point. Andreas Morr and Niklas Boers at the Technical University of Munich have developed a new statistical method for assessing whether a complex system is nearing a tipping point [ 1]. Applying their method to simulations of the Sahara climate, they suggest that it was destabilized by increasing solar radiation caused by changes in Earth’s orbit.

Key to spotting an imminent tipping point is the so-called linear restoring rate , which quantifies negative-feedback mechanisms that pull a perturbed system back into equilibrium. Near a tipping point, weakens, and the system spends more and more time in its perturbed state. The parameter can be estimated from the variance in time of certain system parameters (such as vegetation coverage in the case of the Sahara) and by observing temporal correlations in such parameters’ values. This approach, however, relies on an unrealistic assumption: the system’s noise must be frequency independent, or “white,” and its features should be relatively stable in time.

Morr and Boers estimate from more complex measures. Instead of variance, they use power spectral density—the distribution of variance across different frequencies. They also account for correlations between steps that are not adjacent but further separated in time. Morr says that this approach should deliver more reliable tipping-point assessments even when considering “red” noise—a correlated form of noise thought to better capture the behavior of natural systems like the climate.

–Marric Stephens

Marric Stephens is a Corresponding Editor for Physics Magazine based in Bristol, UK.

1. A. Morr and N. Boers, “Detection of approaching critical transitions in natural systems driven by red noise,” Phys. Rev. X 14, 021037 (2024).

Detection of Approaching Critical Transitions in Natural Systems Driven by Red Noise

Andreas Morr and Niklas Boers

Phys. Rev. X 14, 021037 (2024)

Published June 4, 2024

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Climate change is now a driver of the world’s economy. The impact is profound:

  • Catastrophic weather events — hurricanes, floods, droughts, high temperatures — are more frequent and more extreme. The cost can be measured in both the initial damage caused and the longer-term impact on the economy.
  • Vulnerable communities are increasing climate-related investments, hardening infrastructure and taking other protective measures.
  • Investment in carbon capture and storage technologies is increasingly rapidly.
  • Governments are making investments and crafting regulations to reduce emissions of carbon dioxide and other greenhouse gases. 

On top of all of this is the cost of uncertainty. As the Fourth National Climate Assessment, released in 2018 by the U.S. Global Change Research Program, says, “The assumption that current and future climate conditions will resemble the recent past is no longer valid.”

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