Articles | Volume 10, issue 1
Geosci. Model Dev., 10, 483–498, 2017
https://doi.org/10.5194/gmd-10-483-2017
Geosci. Model Dev., 10, 483–498, 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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Phil Holden on behalf of the Authors (07 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Dec 2016) by Carlos Sierra
RR by Cajo ter Braak (02 Jan 2017)
RR by Anonymous Referee #3 (10 Jan 2017)
ED: Publish subject to minor revisions (Editor review) (10 Jan 2017) by Carlos Sierra
AR by Phil Holden on behalf of the Authors (11 Jan 2017)  Author's response    Manuscript
ED: Publish as is (11 Jan 2017) by Carlos Sierra
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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.