4.7 Article

Time scale evaluation and the quantification of obliquity forcing

Journal

QUATERNARY SCIENCE REVIEWS
Volume 209, Issue -, Pages 100-113

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.quascirev.2019.01.018

Keywords

Quaternary; Paleoclimatology; Data treatment; Data analysis; Obliquity; Tilt; Timescale testing; Astrochronology; Orbital climate forcing

Funding

  1. PSL fellowship
  2. [European Community's] Seventh Framework Programme ([FP7/2007-2013] [215458]
  3. U.S. National Science Foundation [EAR-1151438]
  4. IMCCE, Observatoire de Paris

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The geologic time scale serves as an essential instrument for reconstructing Earth history. Astrochronology, linking regular sedimentary alternations to theoretical quasi-periodic astronomical rhythms, often provides the highest resolution age models for strata that underlie the time scale. Although various methods for testing astronomically-tuned time scales exist, they often present challenges, such as the problem of circularity. Here, we introduce an approach to extract a reliable obliquity envelope from astronomically tuned data, avoiding the effects of frequency modulations that can artificially introduce astronomical beats. This approach includes (1) the application of a broad obliquity filter followed by (2) a Hilbert transform and (3) a low-pass filter of the amplitude envelope to (4) test the significance of correlation between amplitude envelope and astronomical solution. These data amplitudes provide a robust means to evaluate the climate response to obliquity forcing and, more specifically, to test the significance of correlation with the theoretical astronomical solution, in a manner similar to the phase randomized surrogate approach previously introduced for the evaluation of precession tuning. Synthetic astronomicalfice-sheet models and several Quaternary climate proxy records - where obliquity can be a dominant component of astronomically driven climate variability - are used to demonstrate the feasibility of the proposed method and yield new insight into climate system evolution. (C) 2019 Elsevier Ltd. All rights reserved.

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