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Critical slowing down in dynamical systems driven by nonstationary correlated noise

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/persons/resource/boettner

Boettner,  Christopher
Potsdam Institute for Climate Impact Research;

/persons/resource/Niklas.Boers

Boers,  Niklas
Potsdam Institute for Climate Impact Research;

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26793oa.pdf
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Zitation

Boettner, C., Boers, N. (2022): Critical slowing down in dynamical systems driven by nonstationary correlated noise. - Physical Review Research, 4, 1, 013230.
https://doi.org/10.1103/PhysRevResearch.4.013230


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_26793
Zusammenfassung
Precursor signals for bifurcation-induced critical transitions have recently gained interest across many research fields. Common indicators, including variance and autocorrelation increases, rely on the dynamical system being driven by white noise. Here, we show that these metrics raise false alarms for systems driven by time-correlated noise, if the autocorrelation of the noise process increases with time. We introduce a new indicator for systems driven by non-stationary short-term memory noise, and show that this indicator performs well in situations where the classical methods fail.