English

Dimensional analysis identifies contrasting dynamics of past climate states and critical transitions

Geophysics 2023-09-25 v1 Chaotic Dynamics Data Analysis, Statistics and Probability

Abstract

While one can unequivocally identify past climate transitions, we lack comprehensive knowledge about their underlying mechanisms and timescales. Our study employs a dimensional analysis of benthic stable isotope records to uncover, across different timescales, how the climatic fluctuation of the Cenozoic are associated with changes in the number of effective degrees of freedom. Precession timescales dominate the Hothouse and Warmhouse states, while the Icehouse climate is primarily influenced by obliquity and eccentricity timescales. Notably, the Coolhouse state lacks dominant timescales. Our analysis proves effective in objectively identifying abrupt climate shifts and extremes. This is also demonstrated using high-resolution data from the last glacial cycle, revealing abrupt climate shifts within a single climate state. These findings significantly impact our understanding of the inherent stability of each climate state and the evaluation of (paleo-)climate models' ability to replicate key features of past/future climate states and transitions.

Keywords

Cite

@article{arxiv.2309.12693,
  title  = {Dimensional analysis identifies contrasting dynamics of past climate states and critical transitions},
  author = {Tommaso Alberti and Fabio Florindo and Eelco J. Rohling and Valerio Lucarini and Davide Faranda},
  journal= {arXiv preprint arXiv:2309.12693},
  year   = {2023}
}