Articles | Volume 9, issue 5
https://doi.org/10.5194/esurf-9-1153-2021
https://doi.org/10.5194/esurf-9-1153-2021
Research article
 | 
10 Sep 2021
Research article |  | 10 Sep 2021

Bias and error in modelling thermochronometric data: resolving a potential increase in Plio-Pleistocene erosion rate

Sean D. Willett, Frédéric Herman, Matthew Fox, Nadja Stalder, Todd A. Ehlers, Ruohong Jiao, and Rong Yang

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sean Willett on behalf of the Authors (17 Jan 2021)
ED: Publish subject to minor revisions (review by editor) (02 Mar 2021) by Richard Gloaguen
AR by Sean Willett on behalf of the Authors (22 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (30 Apr 2021) by Richard Gloaguen
AR by Sean Willett on behalf of the Authors (08 Jul 2021)  Author's response 
ED: Publish as is (12 Jul 2021) by Richard Gloaguen
ED: Publish as is (19 Jul 2021) by Heather Viles (Editor)
AR by Sean Willett on behalf of the Authors (25 Jul 2021)  Author's response   Manuscript 
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Short summary
The cooling climate of the last few million years leading into the ice ages has been linked to increasing erosion rates by glaciers. One of the ways to measure this is through mineral cooling ages. In this paper, we investigate potential bias in these data and the methods used to analyse them. We find that the data are not themselves biased but that appropriate methods must be used. Past studies have used appropriate methods and are sound in methodology.