Publication | Open Access
Slowing down as an early warning signal for abrupt climate change
988
Citations
35
References
2008
Year
Milankovitch CycleFuture Climatic ChangeEngineeringCritical ThresholdsClimate CrisisEarth ScienceStable ClimateClimate ChangeClimate HazardsGeographyGlobal WarmingClimate Change EffectClimate SystemEarth's ClimateClimate DynamicsClimatologyCritical Tipping PointGlobal ClimateAbrupt Climate ChangeEarly Warning Signal
Abrupt climate transitions in Earth's history are often linked to tipping points, yet proving and predicting them remains difficult; a hallmark of tipping points is a slowing down of fluctuations, measured as increased autocorrelation. The study analyzes eight ancient abrupt climate shifts to demonstrate that a characteristic slowing down of fluctuations precedes abrupt transitions, suggesting that detecting such slowing down could serve as a universal early warning signal for catastrophic change. Our analysis of eight ancient abrupt climate shifts shows that each was preceded by a characteristic slowing down of fluctuations, providing independent empirical evidence that past abrupt shifts were associated with passing critical thresholds.
In the Earth's history, periods of relatively stable climate have often been interrupted by sharp transitions to a contrasting state. One explanation for such events of abrupt change is that they happened when the earth system reached a critical tipping point. However, this remains hard to prove for events in the remote past, and it is even more difficult to predict if and when we might reach a tipping point for abrupt climate change in the future. Here, we analyze eight ancient abrupt climate shifts and show that they were all preceded by a characteristic slowing down of the fluctuations starting well before the actual shift. Such slowing down, measured as increased autocorrelation, can be mathematically shown to be a hallmark of tipping points. Therefore, our results imply independent empirical evidence for the idea that past abrupt shifts were associated with the passing of critical thresholds. Because the mechanism causing slowing down is fundamentally inherent to tipping points, it follows that our way to detect slowing down might be used as a universal early warning signal for upcoming catastrophic change. Because tipping points in ecosystems and other complex systems are notoriously hard to predict in other ways, this is a promising perspective.
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