Detection and explanation of spatiotemporal patterns in Late Cenozoic palaeoclimate change relevant to Earth surface processes

Mutz, Sebastian G.; Ehlers, Todd A.

doi:https://doi.org/10.5194/esurf-7-663-2019

Articles | Volume 7, issue 3

https://doi.org/10.5194/esurf-7-663-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-7-663-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 3

Research article

|

22 Jul 2019

Research article |

| 22 Jul 2019

Detection and explanation of spatiotemporal patterns in Late Cenozoic palaeoclimate change relevant to Earth surface processes

Sebastian G. Mutz and Todd A. Ehlers

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Final revised paper (published on 22 Jul 2019)
Supplement to the final revised paper
Preprint (discussion started on 04 Feb 2019)
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: 'Reviewer Comment', Anonymous Referee #1, 07 Apr 2019
- AC1: 'Response to anonymous reviewer', Sebastian G. Mutz, 22 May 2019
RC2: 'Referee comment', Andrew Wickert, 17 Apr 2019
- AC2: 'Response to Andrew Wickert', Sebastian G. Mutz, 22 May 2019

Peer-review completion

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

AR by Sebastian G. Mutz on behalf of the Authors (22 May 2019) Author's response Manuscript

ED: Publish subject to technical corrections (03 Jun 2019) by Simon Mudd

ED: Publish subject to technical corrections (21 Jun 2019) by Heather Viles (Editor)

AR by Sebastian G. Mutz on behalf of the Authors (25 Jun 2019) Author's response Manuscript

Short summary

We apply machine learning techniques to quantify and explain differences between recent palaeoclimates with regards to factors that are important in shaping the Earth's surface. We find that changes in ice cover, near-surface air temperature and rainfall duration create the most distinct differences. We also identify regions particularly prone to changes in rainfall and temperature-controlled erosion, which will help with the interpretation of erosion rates and geological archives.