Articles | Volume 8, issue 4
Earth Syst. Dynam., 8, 1171–1190, 2017
https://doi.org/10.5194/esd-8-1171-2017
Earth Syst. Dynam., 8, 1171–1190, 2017
https://doi.org/10.5194/esd-8-1171-2017
Research article
15 Dec 2017
Research article | 15 Dec 2017

Inverse stochastic–dynamic models for high-resolution Greenland ice core records

Niklas Boers et al.

Viewed

Total article views: 2,216 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,396 739 81 2,216 85 102
  • HTML: 1,396
  • PDF: 739
  • XML: 81
  • Total: 2,216
  • BibTeX: 85
  • EndNote: 102
Views and downloads (calculated since 24 Jan 2017)
Cumulative views and downloads (calculated since 24 Jan 2017)

Viewed (geographical distribution)

Total article views: 2,172 (including HTML, PDF, and XML) Thereof 2,166 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Jun 2022
Download
Short summary
We use a Bayesian approach for inferring inverse, stochastic–dynamic models from northern Greenland (NGRIP) oxygen and dust records of subdecadal resolution for the interval 59 to 22 ka b2k. Our model reproduces the statistical and dynamical characteristics of the records, including the Dansgaard–Oeschger variability, with no need for external forcing. The crucial ingredients are cubic drift terms, nonlinear coupling terms between the oxygen and dust time series, and non-Markovian contributions.
Altmetrics
Final-revised paper
Preprint