EGU21-9733
https://doi.org/10.5194/egusphere-egu21-9733
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Glaciation cycle models and their pullback attractors

Keno Riechers1,2, Niklas Boers1,2,3, Michael Ghil4,5,6, and Takahito Mitsui1
Keno Riechers et al.
  • 1Potsdam Institute for Climate Impact Research, Complexity Science, Potsdam, Germany (riechers@pik-potsdam.de)
  • 2Department of Mathematics and Computer Science, Free University Berlin, Berlin, Germany
  • 3Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK
  • 4Department of Atmospheric & Oceanic Sciences, University of California at Los Angeles, Los Angeles, USA
  • 5eosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), Ecole Normale Supérieure and PSLUniversity, Paris, France
  • 6Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia

The Pleistocene climate was dominated by alternating retreat and regrowth of massive ice sheets accompanied by large variations in the global mean temperature and sea level. Partial agreement between the power spectra of global ice volume proxies and high-latitude summer insolation provides evidence that quasi-periodic changes in the earth’s orbital configuration affect the timing of glaciations and deglaciations. It remains, however, a topic of active debate whether the main cause of glacial cycles is an internal self-sustained oscillation of the climate system that merely phased locked, more or less, to orbital forcing or whether glacial cycles could not exist at all in the absence of orbital forcing. Furthermore, it is unclear whether past ice volume records should be regarded as the result of a purely deterministic process or as a randomly selected trajectory of a stochastic process. To study plausible paths of the earth’s climate system given the orbital forcing, we compute the pullback attractors of several conceptual Pleistocene models. The results are confronted with the power spectra, as well as the time series of proxy records and conclusions will be drawn about the role of internal vs. forced variability and the possible contribution of stochastic processes to the mix of causes. We argue, moreover, that the explanatory power of either a deterministically chaotic or a dynamic-stochastic model cannot be assessed by comparing the model output to observations in the time domain alone.

How to cite: Riechers, K., Boers, N., Ghil, M., and Mitsui, T.: Glaciation cycle models and their pullback attractors, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9733, https://doi.org/10.5194/egusphere-egu21-9733, 2021.

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