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Volume 11, issue 4 | Copyright
Geosci. Model Dev., 11, 1641-1652, 2018
https://doi.org/10.5194/gmd-11-1641-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 Bock1, Olaf Conrad1, Andreas Günther2, Ernst Gehrt3, Rainer Baritz2, and Jürgen Böhner1 Michael Bock et al.
  • 1Institute for Geography, University of Hamburg, Hamburg, Germany
  • 2Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany
  • 3State Authority for Mining, Energy and Geology (LBEG), Hannover, Germany

Abstract. We propose the implementation of the Soil and Landscape Evolution Model (SaLEM) for the spatiotemporal investigation of soil parent material evolution following a lithologically differentiated approach. Relevant parts of the established Geomorphic/Orogenic Landscape Evolution Model (GOLEM) have been adapted for an operational Geographical Information System (GIS) tool within the open-source software framework System for Automated Geoscientific Analyses (SAGA), thus taking advantage of SAGA's capabilities for geomorphometric analyses. The model is driven by palaeoclimatic data (temperature, precipitation) representative of periglacial areas in northern Germany over the last 50000 years. The initial conditions have been determined for a test site by a digital terrain model and a geological model. Weathering, erosion and transport functions are calibrated using extrinsic (climatic) and intrinsic (lithologic) parameter data. First results indicate that our differentiated SaLEM approach shows some evidence for the spatiotemporal prediction of important soil parental material properties (particularly its depth). Future research will focus on the validation of the results against field data, and the influence of discrete events (mass movements, floods) on soil parent material formation has to be evaluated.

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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.
We introduce the Soil and Landscape Evolution Model (SaLEM) for the prediction of soil parent...
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