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• W4220779570 abstract "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 an indicator for systems driven by nonstationary short-term memory noise, and show that this indicator performs well in situations where the classical methods fail." @default.
• W4220779570 created "2022-04-03" @default.
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• W4220779570 creator A5042609393 @default.
• W4220779570 date "2022-03-28" @default.
• W4220779570 modified "2023-09-30" @default.
• W4220779570 title "Critical slowing down in dynamical systems driven by nonstationary correlated noise" @default.
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• W4220779570 doi "https://doi.org/10.1103/physrevresearch.4.013230" @default.
• W4220779570 hasPublicationYear "2022" @default.
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