Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-9-529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Michael Herbst
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Lutz Weihermüller
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany
Anne Verhoef
University of Reading, Department of Geography and Environmental Science, Reading, UK
Harry Vereecken
Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany
International Soil Modeling Consortium, Jülich, Germany
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- Global Groundwater Modeling and Monitoring: Opportunities and Challenges L. Condon et al. 10.1029/2020WR029500
- Estimation of saturated hydraulic conductivity with pedotransfer functions: A review Y. Zhang & M. Schaap 10.1016/j.jhydrol.2019.05.058
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model S. Tafasca et al. 10.5194/hess-24-3753-2020
- Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics B. Szabó et al. 10.5194/hess-23-2615-2019
- Functional Evaluation of Digital Soil Hydraulic Property Maps through Comparison of Simulated and Remotely Sensed Maize Canopy Cover M. Kalumba et al. 10.3390/land11050618
- Plant Morphological Structures as Influenced by Soil Hydraulic Properties: A Review A. Auwalu & J. Abdulkareem 10.1080/00103624.2023.2253848
- Development of pedotransfer functions for predicting hydraulic parameters of van Genuchten model by incorporating environmental variables on the Qinghai-Tibet Plateau Z. Wang et al. 10.1016/j.still.2023.105952
- Soil bulk density assessment in Europe P. Panagos et al. 10.1016/j.agee.2024.108907
- Estimation and mapping of field capacity in Brazilian soils M. Turek et al. 10.1016/j.geoderma.2020.114557
- Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal A. Horta et al. 10.1016/j.geodrs.2023.e00741
- Pedotransfer functions for estimating soil hydraulic properties from saturation to dryness . Rudiyanto et al. 10.1016/j.geoderma.2021.115194
- Mapping saturated hydraulic conductivity from open-access soil databases M. Ferrer-Julia et al. 10.1016/j.catena.2020.104973
- Evolution of Arctic rivers recession flow: Global assessment and data-based attribution analysis F. Sergeant et al. 10.1016/j.jhydrol.2021.126577
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Latest update: 24 Dec 2024
Short summary
Global climate models require adequate parameterization of soil hydraulic properties, but typical resampling to the model grid introduces uncertainties. Here we present a method to scale hydraulic parameters to individual model grids and provide a global data set that overcomes the problems. It preserves the information of sub-grid variability of the water retention curve by deriving local scaling parameters that enables modellers to perturb hydraulic parameters for model ensemble generation.
Global climate models require adequate parameterization of soil hydraulic properties, but...
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