Articles | Volume 15, issue 4
https://doi.org/10.5194/cp-15-1275-2019
https://doi.org/10.5194/cp-15-1275-2019
Research article
 | 
05 Jul 2019
Research article |  | 05 Jul 2019

Combining a pollen and macrofossil synthesis with climate simulations for spatial reconstructions of European climate using Bayesian filtering

Nils Weitzel, Andreas Hense, and Christian Ohlwein

Viewed

Total article views: 2,637 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,746 825 66 2,637 159 49 56
  • HTML: 1,746
  • PDF: 825
  • XML: 66
  • Total: 2,637
  • Supplement: 159
  • BibTeX: 49
  • EndNote: 56
Views and downloads (calculated since 16 Aug 2018)
Cumulative views and downloads (calculated since 16 Aug 2018)

Viewed (geographical distribution)

Total article views: 2,637 (including HTML, PDF, and XML) Thereof 2,478 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
A new method for probabilistic spatial reconstructions of past climate states is presented, which combines pollen data with a multi-model ensemble of climate simulations in a Bayesian framework. The approach is applied to reconstruct summer and winter temperature in Europe during the mid-Holocene. Our reconstructions account for multiple sources of uncertainty and are well suited for quantitative statistical analyses of the climate under different forcing conditions.