Preprints
https://doi.org/10.5194/soil-2021-85
https://doi.org/10.5194/soil-2021-85

  20 Aug 2021

20 Aug 2021

Review status: this preprint is currently under review for the journal SOIL.

Can the models keep up with the data? Possibilities of soil and soil surface assessment techniques in the context of process based soil erosion models – A Review

Lea Epple1, Andreas Kaiser2, Marcus Schindewolf3, and Anette Eltner4 Lea Epple et al.
  • 1Department of Physical Geography, Friedrich-Schiller University Jena, Jena, 07743, Germany
  • 2District Administration Siegen-Wittgenstein, Administrative Department for Climate and Sustainable Mobility, Siegen, 57072, Germany
  • 3Thuringian State Institute of Agriculture, Jena, 07743, Germany
  • 4Institute of Photogrammetry and Remote Sensing, Technical University Dresden, Dresden, 01062, Germany

Abstract. Climate change, accompanied by intensified extreme weather events, results in changes in intensity, frequency and magnitude of soil erosion. These unclear future developments make adaption and improvement of soil erosion modelling approaches all the more important. Hypothesizing that models cannot keep up with the data, this review gives an overview of 44 process based soil erosion models, their strengths and weaknesses and discusses their potential for further development with respect to new and improved soil and soil erosion assessment techniques. We found valuable tools in areas, as remote sensing, tracing or machine learning, to gain temporal and spatial distributed high resolution parameterization and process descriptions which could lead to a more holistic modelling approach. Most process based models are so far not capable to implement cross-scale erosional processes or profit from the available resolution on a temporal and spatial scale. We conclude that models need further development regarding their process understanding, adaptability in respect to scale as well as their parameterization and calibration. The challenge is the development of models which are able to simulate soil erosion processes as close to reality as possible, as user-friendly as possible and as complex as it needs to be. 

Lea Epple et al.

Status: open (until 01 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on soil-2021-85', Pedro Batista, 12 Sep 2021 reply

Lea Epple et al.

Lea Epple et al.

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Short summary
Intensified extreme weather events due to climate change can result in changes of soil erosion. These unclear developments make an improvement of soil erosion modelling all the more important. Assuming that soil erosion models cannot keep up with the current data, this work gives an overview of 44 models, their strengths and weaknesses and discusses their potential for further development with respect to new and improved soil and soil erosion assessment techniques.