English

Anticipation of Oligocene's climate heartbeat by simplified eigenvalue estimation

Atmospheric and Oceanic Physics 2023-09-26 v1 Chaotic Dynamics Computational Physics Data Analysis, Statistics and Probability

Abstract

The Eocene-Oligocene transition marks a watershed point of earth's climate history. The climate shifts from a greenhouse state to an icehouse state in which Antarctica glaciated for the first time and periodic dynamics arise which are still relevant for our current climate. We analyse a CaCO3CaCO_3 concentration time series which covers the Eocene-Oligocene transition and which is obtained from a Pacific sediment core at site DSDP1218. Therefore, we introduce a simplified autoregression-based variant of the dominant eigenvalue (DEV) estimation procedure. The DEV works as leading indicator of bifurcation-induced transitions and enables us to identify the bifurcation type. We confirm its reliability in a methodological study and demonstrate the crucial importance of proper detrending to obtain unbiased results. As a remark, we discuss also possible pathways to estimate the stability of limit cycles based on the DEV and the alternative drift slope as a proof of principle. Finally, we present the DEV analysis results of the CaCO3CaCO_3 concentration time series which are reproducible in a wide parameter range. Our findings demonstrate that the onset of Oligocene's periodic dynamics might be announced by a Neimark-Sacker/Hopf bifurcation in course of the Eocene-Oligocene transition 34 mya. (We follow the convention and use mya=^\widehat{=}"million years ago" and Ma=^\widehat{=}"million years" throughout the article.)

Keywords

Cite

@article{arxiv.2309.14179,
  title  = {Anticipation of Oligocene's climate heartbeat by simplified eigenvalue estimation},
  author = {Martin Heßler and Oliver Kamps},
  journal= {arXiv preprint arXiv:2309.14179},
  year   = {2023}
}

Comments

14 pages, 6 figures. Appendix included with 14 pages, 13 figures and 2 tables. Total pages: 31. Data and code available online