Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-483-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-483-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 1
Model description paper
 | 
01 Feb 2017
Model description paper |  | 01 Feb 2017

BUMPER v1.0: a Bayesian user-friendly model for palaeo-environmental reconstruction

Philip B. Holden, H. John B. Birks, Stephen J. Brooks, Mark B. Bush, Grace M. Hwang, Frazer Matthews-Bird, Bryan G. Valencia, and Robert van Woesik

Viewed

Total article views: 6,139 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,347 3,592 200 6,139 3,024 218 266
  • HTML: 2,347
  • PDF: 3,592
  • XML: 200
  • Total: 6,139
  • Supplement: 3,024
  • BibTeX: 218
  • EndNote: 266
Views and downloads (calculated since 21 Sep 2016)
Cumulative views and downloads (calculated since 21 Sep 2016)

Viewed (geographical distribution)

Total article views: 6,139 (including HTML, PDF, and XML) Thereof 5,379 with geography defined and 760 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Oct 2025
Download
Short summary
We describe BUMPER, a Bayesian transfer function for inferring past climate from micro-fossil assemblages. BUMPER is fully self-calibrating, straightforward to apply, and computationally fast. We apply BUMPER to a range of proxies, including both real and artificial data, demonstrating ease of use and applicability to multi-proxy reconstructions.
Read more
Share