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Preprints
https://doi.org/10.5194/gmd-2020-36
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-36
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 05 May 2020

Submitted as: development and technical paper | 05 May 2020

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This preprint is currently under review for the journal GMD.

Updated European hydraulic pedotransfer functions with communicated uncertainties in the predicted variables (euptfv2)

Brigitta Szabó1, Melanie Weynants2, and Tobias K. D. Weber3 Brigitta Szabó et al.
  • 1Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Herman Ottó út 15, 1022 Budapest, Hungary
  • 2European Commission Joint Research Centre, via Enrico Fermi 2749, 21027 Ispra, Italy
  • 3Institute of Soil Science and Land Evaluation, University of Hohenheim, Emil-Wolff-Straße 27, 70593 Stuttgart, Germany

Abstract. Soil hydraulic properties are often derived indirectly, i.e. computed from easily available soil properties with pedotransfer functions (PTFs), when those are needed for catchment, regional or continental scale applications. When predicted soil hydraulic parameters are used for the modelling of the state and flux of water in soils, uncertainty of the computed values can provide more detailed information when drawing conclusions. The aim of this study was to update the previously published European PTFs (Tóth et al., 2015, euptf v1.4.0) by providing prediction uncertainty calculation built into the transfer functions. The new set of algorithms was derived for point predictions of soil water content at saturation (0 cm matric potential head), field capacity (both −100 and −330 cm matric potential head), wilting point (−15.000 cm matric potential head), plant available water, and saturated hydraulic conductivity, as well as the Mualem-van Genuchten model parameters of the moisture retention and hydraulic conductivity curve. The minimum set of input properties for the prediction is soil depth and sand, silt and clay content. The effect of including additional information like soil organic carbon content, bulk density, calcium carbonate content, pH and cation exchange capacity were extensively analysed. The PTFs were derived adopting the random forest method. The advantage of the new PTFs is that they i) provide information about prediction uncertainty, ii) are significantly more accurate than the euptfv1, iii) can be applied for more predictor variable combinations than the euptfv1, 32 instead of 5, and iv) are now also derived for the prediction of water content at −100 cm matric potential head and plant available water content.

Brigitta Szabó et al.

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Model code and software

Scripts of updated European hydraulic pedotransfer functions (euptfv2) B. Szabó, M. Weynants, and T. K. Weber https://doi.org/10.5281/ZENODO.3759443

Web interface for European hydraulic pedotransfer functions (euptfv2) B. Szabó, D. Gyurkó, M. Weynants, and T. K. D. Weber https://doi.org/10.34977/euptfv2.01

Brigitta Szabó et al.

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Latest update: 01 Jun 2020
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Short summary
This paper presents updated European prediction algorithms (euptf2) to compute soil hydraulic parameters from easily available soil properties. The new algorithms lead to significantly better predictions and provide built-in prediction uncertainty computation. The influence of predictor variables on predicted soil hydraulic properties is explored. A website facilitates easy application of the updated prediction algorithms.
This paper presents updated European prediction algorithms (euptf2) to compute soil hydraulic...
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