Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-483-2017
https://doi.org/10.5194/gmd-10-483-2017
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

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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.