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In this work the interval stability concept is used for study the stability of the Earth’s climate system during last 2.6 million years. For the study we used an empirical model of the Earth’s climate in the Pleistocene [1] which was constructed on the basis of LR04 stack data. By means of this model, we analysed dependence of the Pleistocene climate interval stability on time, and compare the results with the behavior of local linear stability. We find that the global climate resilience to any perturbations decreases throughout the Pleistocene and the nonlinearity plays significant role in this phenomenon. The work was carried out within the framework of the Program for the Development of the Regional Scientifc and Educational Mathematical Center "Mathematics of Future Technologies", project #075-02-2020-1483/1.1. Mukhin, D., Gavrilov, A., Loskutov, E. et al. Bayesian Data Analysis for Revealing Causes of the Middle Pleistocene Transition. Sci Rep 9, 7328 (2019). https://doi.org/10.1038/s41598-019-43867-3 |
