Extracting information on the spatial variability in erosion rate stored in detrital cooling age distributions in river sands

Braun, Jean; Gemignani, Lorenzo; van der Beek, Peter

doi:https://doi.org/10.5194/esurf-6-257-2018

Articles | Volume 6, issue 1

https://doi.org/10.5194/esurf-6-257-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-6-257-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 6, issue 1

Research article

|

29 Mar 2018

Research article |

| 29 Mar 2018

Extracting information on the spatial variability in erosion rate stored in detrital cooling age distributions in river sands

Jean Braun, Lorenzo Gemignani, and Peter van der Beek

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Final revised paper (published on 29 Mar 2018)
Supplement to the final revised paper
Preprint (discussion started on 13 Jul 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments to the manuscript esurf-2017-42', Marco Giovanni Malusa', 10 Aug 2017
EC1: 'Associate Editor Review', Sebastien Castelltort, 28 Oct 2017
RC2: 'Review of Braun et al., esurf-2017-42', Mark Brandon, 30 Oct 2017
AC1: 'Response to Reviewers and Editor's comments', Jean Braun, 08 Dec 2017
EC2: 'Autors can submit revised manuscript', Sebastien Castelltort, 21 Dec 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jean Braun on behalf of the Authors (02 Mar 2018) Author's response Manuscript

ED: Publish as is (22 Mar 2018) by Sebastien Castelltort

ED: Publish as is (22 Mar 2018) by Andreas Lang (Editor)

AR by Jean Braun on behalf of the Authors (23 Mar 2018) Author's response Manuscript

Short summary

We present a new method to interpret a type of data that geologists obtained by dating minerals in river sand samples. We show that such data contain information about the spatial distribution of the erosion rate (wear of surface rocks by natural processes such as river incision, land sliding or weathering) in the regions neighboring the river. This is important to understand the nature and efficiency of the processes responsible for surface erosion in mountain belts.