Influence of external forcings on abrupt millennial-scale climate changes: a statistical modelling study
Takahito Mitsui, Michel Crucifix

TL;DR
This study uses statistical models to analyze how external forcings like insolation and ice volume influence abrupt climate changes during the last glacial period, highlighting ice volume's relative importance.
Contribution
It introduces stochastic dynamical systems models to quantify external forcing impacts on Dansgaard-Oeschger events, with model validation and extension to past glacial periods.
Findings
Ice volume forcing is more influential than insolation in the models.
The stochastic oscillator model accurately reproduces past climate transition frequencies.
Simulations suggest more frequent abrupt changes in older glacial periods than previously recorded.
Abstract
The last glacial period was punctuated by a series of abrupt climate shifts, the so-called Dansgaard-Oeschger (DO) events. The frequency of DO events varied in time, supposedly because of changes in background climate conditions. Here, the influence of external forcings on DO events is investigated with statistical modelling. We assume two types of simple stochastic dynamical systems models (double-well potential-type and oscillator-type), forced by the northern hemisphere summer insolation change and/or the global ice volume change. The model parameters are estimated by using the maximum likelihood method with the NGRIP Ca record. The stochastic oscillator model with at least the ice volume forcing reproduces well the sample autocorrelation function of the record and the frequency changes of warming transitions in the last glacial period across MISs 2, 3, and 4. The model…
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