3:45 PM - 4:00 PM
[MGI29-14] Data-driven model for investigation of the mid-Pleistocene transition
Keywords:Data-driven Modeling, Critical Transitions, Time Series Analysis, Mid Pleistocene Transition
We demonstrate the good performance of applying our data-driven model to analysis of paleoclimate variability. In particular, we discuss the possibility of detecting, identifying and prediction of the mid-Pleistocene transition by means of nonlinear empirical modeling using the paleoclimate record time series.
The study is supported by Government of Russian Federation (agreement #14.Z50.31.0033 with the Institute of Applied Physics of RAS).