Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Critical slowing down in dynamical systems driven by nonstationary correlated noise

Urheber*innen
/persons/resource/boettner

Boettner,  Christopher
Potsdam Institute for Climate Impact Research;

/persons/resource/Niklas.Boers

Boers,  Niklas       
Potsdam Institute for Climate Impact Research;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)

26793oa.pdf
(Verlagsversion), 821KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
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.