Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2301-2017
© 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/hess-21-2301-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2017
Research article |
| 03 May 2017
Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales
Department
Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
Institute of Earth and Environmental Sciences, University of Potsdam,
Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Matthias Zink
Department
Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
Rohini Kumar
Department
Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
Luis Samaniego
Department
Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
Sabine Attinger
Department
Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany
Institute of Earth and Environmental Sciences, University of Potsdam,
Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
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36 citations as recorded by crossref.
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- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Optimum design of hydraulic water retaining structures incorporating uncertainty in estimating heterogeneous hydraulic conductivity utilizing stochastic ensemble surrogate models within a multi-objective multi-realisation optimisation model M. Al-Juboori & B. Datta 10.1016/j.jcde.2018.12.003
- Reliability-based optimum design of hydraulic water retaining structure constructed on heterogeneous porous media: utilizing stochastic ensemble surrogate model-based linked simulation optimization model M. Al-Juboori & B. Datta 10.1007/s41872-018-00072-x
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36 citations as recorded by crossref.
- Temporal Variability in the Response of a Linear Time-Invariant Catchment System to a Non-Stationary Inflow Concentration Field C. Chang et al. 10.3390/app10155356
- Comparison Quality of Interpolation Methods to Estimate Spatial Distribution of Soil Moisture Content T. Tunçay 10.1080/00103624.2020.1854283
- Required sampling density of ground-based soil moisture and brightness temperature observations for calibration and validation of L-band satellite observations based on a virtual reality S. Lv et al. 10.5194/hess-24-1957-2020
- Dye solution experiments for determining solute transport behaviour in degraded wetland soils of the Yellow River Delta Y. Zhang et al. 10.1002/eco.2501
- Uncertainties of 3D soil hydraulic parameters in streamflow simulations using a distributed hydrological model system Y. Yang et al. 10.1016/j.jhydrol.2018.09.042
- Limited role of soil texture in mediating natural vegetation response to rainfall anomalies S. Gupta et al. 10.1088/1748-9326/ac5206
- An effective strategy for combining variance- and distribution-based global sensitivity analysis G. Baroni & T. Francke 10.1016/j.envsoft.2020.104851
- Intra‐Specific Variability in Plant Hydraulic Parameters Inferred From Model Inversion of Sap Flux Data Y. Lu et al. 10.1029/2021JG006777
- A reduced-order model approach for fuzzy fields analysis N. Manque et al. 10.1016/j.strusafe.2024.102498
- The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism M. Clark et al. 10.5194/hess-21-3427-2017
- Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. 10.1029/2021WR031149
- Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023) N. Batjes et al. 10.5194/essd-16-4735-2024
- The Benefits of Using State‐Of‐The‐Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models C. Xu et al. 10.1029/2022WR032336
- Confined seepage analysis of saturated soils using fuzzy fields N. Manque et al. 10.1016/j.jrmge.2024.07.016
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- Different calibration procedures for flows estimation using SWAT model L. Moreira et al. 10.1080/23249676.2020.1787246
- The value of simplified models for spin up of complex models with an application to subsurface hydrology D. Erdal et al. 10.1016/j.cageo.2019.01.014
- Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019) N. Batjes et al. 10.5194/essd-12-299-2020
- Coupling soil water processes and the nitrogen cycle across spatial scales: Potentials, bottlenecks and solutions Q. Zhu et al. 10.1016/j.earscirev.2018.10.005
- Remotely Sensed Soil Moisture Can Capture Dynamics Relevant to Plant Water Uptake A. Feldman et al. 10.1029/2022WR033814
- Presentation and discussion of the high-resolution atmosphere–land-surface–subsurface simulation dataset of the simulated Neckar catchment for the period 2007–2015 B. Schalge et al. 10.5194/essd-13-4437-2021
- Soil structure is an important omission in Earth System Models S. Fatichi et al. 10.1038/s41467-020-14411-z
- Rock fragment and spatial variation of soil hydraulic parameters are necessary on soil water simulation on the stony-soil hillslope X. Lai et al. 10.1016/j.jhydrol.2018.08.039
- What Did Really Improve Our Mesoscale Hydrological Model? A Multidimensional Analysis Based on Real Observations T. Francke et al. 10.1029/2018WR022813
- Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models R. Taghizadeh-Mehrjardi et al. 10.1016/j.geoderma.2020.114793
- Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
- Spatial mapping and driving factor Identification for salt-affected soils at continental scale using Machine learning methods Y. Liu et al. 10.1016/j.jhydrol.2024.131589
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Optimum design of hydraulic water retaining structures incorporating uncertainty in estimating heterogeneous hydraulic conductivity utilizing stochastic ensemble surrogate models within a multi-objective multi-realisation optimisation model M. Al-Juboori & B. Datta 10.1016/j.jcde.2018.12.003
- Reliability-based optimum design of hydraulic water retaining structure constructed on heterogeneous porous media: utilizing stochastic ensemble surrogate model-based linked simulation optimization model M. Al-Juboori & B. Datta 10.1007/s41872-018-00072-x
- Assimilation of Groundwater Level and Soil Moisture Data in an Integrated Land Surface‐Subsurface Model for Southwestern Germany C. Hung et al. 10.1029/2021WR031549
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
- POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States N. Chaney et al. 10.1029/2018WR022797
- Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations S. Araya & T. Ghezzehei 10.1029/2018WR024357
- Estimating Groundwater Recharge in Fully Integrated pde‐Based Hydrological Models B. Waldowski et al. 10.1029/2022WR032430
- Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. 10.1016/j.ejrh.2024.101735
Latest update: 24 Dec 2024
Short summary
Three methods are used to characterize the uncertainty in soil properties. The effect on simulated states and fluxes is quantified using a distributed hydrological model. Different impacts are identified as function of the perturbation method, of the model outputs and of the spatio-temporal resolution. The study underlines the importance of a proper characterization of the uncertainty in soil properties for a correct assessment of their role and further improvements in the model application.
Three methods are used to characterize the uncertainty in soil properties. The effect on...
