Articles | Volume 26, issue 19
https://doi.org/10.5194/hess-26-4837-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-4837-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
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05 Oct 2022
Research article | Highlight paper |
| 05 Oct 2022
| 05 Oct 2022
Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
William Lidberg
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
Anneli M. Ågren
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
Hjalmar Laudon
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, 901 83, Sweden
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Executive editor
I recommend this paper for highlight. In the words of the authors: "No previous study has been able to provide such detailed data [of soil moisture] at catchment scale, amount of terrain indices in combination with an extensive field survey which clearly demonstrates the importance of selection of terrain index, DEM resolution and index-specific threshold.
I recommend this paper for highlight. In the words of the authors: "No previous study has been...
Short summary
Terrain indices constitute a good candidate for modelling the spatial variation of soil moisture conditions in many landscapes. In this study, we evaluate nine terrain indices on varying DEM resolution and user-defined thresholds with validation using an extensive field soil moisture class inventory. We demonstrate the importance of field validation for selecting the appropriate DEM resolution and user-defined thresholds and that failing to do so can result in ambiguous and incorrect results.
Terrain indices constitute a good candidate for modelling the spatial variation of soil moisture...
