Articles | Volume 20, issue 3
https://doi.org/10.5194/cp-20-683-2024
https://doi.org/10.5194/cp-20-683-2024
Research article
 | 
22 Mar 2024
Research article |  | 22 Mar 2024

Statistical precursor signals for Dansgaard–Oeschger cooling transitions

Takahito Mitsui and Niklas Boers

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,751 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,613 102 36 1,751 39 40 43
  • HTML: 1,613
  • PDF: 102
  • XML: 36
  • Total: 1,751
  • Supplement: 39
  • BibTeX: 40
  • EndNote: 43
Views and downloads (calculated since 27 Jun 2023)
Cumulative views and downloads (calculated since 27 Jun 2023)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,751 (including HTML, PDF, and XML) Thereof 1,730 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
Download
Short summary
In general, the variance and short-lag autocorrelations of the fluctuations increase in a system approaching a critical transition. Using these indicators, we identify statistical precursor signals for the Dansgaard–Oeschger cooling events recorded in two climatic proxies of three Greenland ice core records. We then provide a dynamical systems theory that bridges the gap between observing statistical precursor signals and the physical precursor signs empirically known in paleoclimate research.