SaLEM (v1.0) – the Soil and Landscape Evolution Model (SaLEM) for simulation of regolith depth in periglacial environments

Bock, Michael; Conrad, Olaf; Günther, Andreas; Gehrt, Ernst; Baritz, Rainer; Böhner, Jürgen

doi:https://doi.org/10.5194/gmd-11-1641-2018

Articles | Volume 11, issue 4

https://doi.org/10.5194/gmd-11-1641-2018

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

https://doi.org/10.5194/gmd-11-1641-2018

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

Articles | Volume 11, issue 4

Model description paper

|

27 Apr 2018

Model description paper |

| 27 Apr 2018

SaLEM (v1.0) – the Soil and Landscape Evolution Model (SaLEM) for simulation of regolith depth in periglacial environments

Michael Bock, Olaf Conrad, Andreas Günther, Ernst Gehrt, Rainer Baritz, and Jürgen Böhner

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Final revised paper (published on 27 Apr 2018)
Preprint (discussion started on 16 Oct 2017)

Interactive discussion

Status: closed

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

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- Supplement

EC1: 'Code Access using DOI', Lutz Gross, 06 Nov 2017
- SC1: 'DOI', Olaf Conrad, 12 Dec 2017
RC1: 'Review of SaLEM (1.0)', Tom Coulthard, 14 Nov 2017
- AC1: 'Response RC1', Michael Bock, 13 Dec 2017
RC2: 'Referee Comment', Anonymous Referee #2, 16 Nov 2017
- AC2: 'Response RC2', Michael Bock, 14 Dec 2017

Peer-review completion

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

AR by Michael Bock on behalf of the Authors (05 Jan 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (10 Jan 2018) by Lutz Gross

RR by Anonymous Referee #2 (23 Jan 2018)

RR by Tom Coulthard (06 Mar 2018)

ED: Publish subject to technical corrections (15 Mar 2018) by Lutz Gross

AR by Michael Bock on behalf of the Authors (21 Mar 2018) Manuscript

Short summary

We introduce the Soil and Landscape Evolution Model (SaLEM) for the prediction of soil parent material evolution following a lithologically differentiated approach. The GIS tool is working within the software framework SAGA GIS. Weathering, erosion and transport functions are calibrated using extrinsic and intrinsic parameter data. First results indicate that our approach shows evidence for the spatiotemporal prediction of soil parental material properties.