Articles | Volume 18, issue 12
https://doi.org/10.5194/cp-18-2599-2022
https://doi.org/10.5194/cp-18-2599-2022
Research article
 | Highlight paper
 | 
15 Dec 2022
Research article | Highlight paper |  | 15 Dec 2022

Reconstructing Holocene temperatures in time and space using paleoclimate data assimilation

Michael P. Erb, Nicholas P. McKay, Nathan Steiger, Sylvia Dee, Chris Hancock, Ruza F. Ivanovic, Lauren J. Gregoire, and Paul Valdes

Viewed

Total article views: 7,949 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,040 1,769 140 7,949 81 87
  • HTML: 6,040
  • PDF: 1,769
  • XML: 140
  • Total: 7,949
  • BibTeX: 81
  • EndNote: 87
Views and downloads (calculated since 22 Apr 2022)
Cumulative views and downloads (calculated since 22 Apr 2022)

Viewed (geographical distribution)

Total article views: 7,949 (including HTML, PDF, and XML) Thereof 7,405 with geography defined and 544 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Dec 2024
Download
Co-editor-in-chief
The manuscript presents a reconstruction of global temperature spanning the Holocene, which extends the scope of previous exercises in palaeoclimate data assimilation. The resulting reconstruction presents new insights into changes in global temperature over this period. Most notably, it confirms the results of previous studies that have shown a global cooling trend over the past 6,000 years. It also shows that a cooling trend is found even after allowing for potential biases in the proxies. These results are likely to be of considerable interest to the broader geoscience community.
Short summary
To look at climate over the past 12 000 years, we reconstruct spatial temperature using natural climate archives and information from model simulations. Our results show mild global mean warmth around 6000 years ago, which differs somewhat from past reconstructions. Undiagnosed seasonal biases in the data could explain some of the observed temperature change, but this still would not explain the large difference between many reconstructions and climate models over this period.