Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-549-2017
© 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-21-549-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Jan 2017
Research article |
| 27 Jan 2017
Spatially distributed characterization of soil-moisture dynamics using travel-time distributions
Falk Heße
CORRESPONDING AUTHOR
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Matthias Zink
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Rohini Kumar
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Luis Samaniego
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Sabine Attinger
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Institute of Geosciences, Faculty for Chemistry and Earth Sciences, Friedrich-Schiller-University Jena, Jena, Germany
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Cited
17 citations as recorded by crossref.
- Variability of transit time distributions with climate and topography: A modelling approach F. Remondi et al.
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al.
- An analytical approach for urban groundwater transit time distributions accounting for the effect of stormwater infiltration system M. Jing et al.
- An Interpretable Attention Decision Forest Model for Surface Soil Moisture Retrieval J. Chen et al.
- EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model S. Kuppel et al.
- Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions R. Schwemmle & M. Weiler
- Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations X. Gu et al.
- Spatial Patterns of Water Age: Using Young Water Fractions to Improve the Characterization of Transit Times in Contrasting Catchments S. Lutz et al.
- Soil water stable isotopes reveal evaporation dynamics at the soil–plant–atmosphere interface of the critical zone M. Sprenger et al.
- Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS) M. Jing et al.
- Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe R. Kumar et al.
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al.
- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al.
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al.
- Water Flux Tracking With a Distributed Hydrological Model to Quantify Controls on the Spatio‐temporal Variability of Transit Time Distributions F. Remondi et al.
- Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models M. Asadollahi et al.
- Modeling Travel Time Distributions of Preferential Subsurface Runoff, Deep Percolation and Transpiration at A Montane Forest Hillslope Site J. Dusek & T. Vogel
17 citations as recorded by crossref.
- Variability of transit time distributions with climate and topography: A modelling approach F. Remondi et al.
- RoGeR v3.0.5 – a process-based hydrological toolbox model in Python R. Schwemmle et al.
- An analytical approach for urban groundwater transit time distributions accounting for the effect of stormwater infiltration system M. Jing et al.
- An Interpretable Attention Decision Forest Model for Surface Soil Moisture Retrieval J. Chen et al.
- EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model S. Kuppel et al.
- Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions R. Schwemmle & M. Weiler
- Consistency and Discrepancy of Global Surface Soil Moisture Changes From Multiple Model‐Based Data Sets Against Satellite Observations X. Gu et al.
- Spatial Patterns of Water Age: Using Young Water Fractions to Improve the Characterization of Transit Times in Contrasting Catchments S. Lutz et al.
- Soil water stable isotopes reveal evaporation dynamics at the soil–plant–atmosphere interface of the critical zone M. Sprenger et al.
- Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS) M. Jing et al.
- Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe R. Kumar et al.
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al.
- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al.
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al.
- Water Flux Tracking With a Distributed Hydrological Model to Quantify Controls on the Spatio‐temporal Variability of Transit Time Distributions F. Remondi et al.
- Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models M. Asadollahi et al.
- Modeling Travel Time Distributions of Preferential Subsurface Runoff, Deep Percolation and Transpiration at A Montane Forest Hillslope Site J. Dusek & T. Vogel
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
Travel-time distributions are a comprehensive tool for the characterization of hydrological systems. In our study, we used data that were simulated by virtue of a well-established hydrological model. This gave us a very large yet realistic dataset, both in time and space, from which we could infer the relative impact of different factors on travel-time behavior. These were, in particular, meteorological (precipitation), land surface (land cover, leaf-area index) and subsurface (soil) properties.
Travel-time distributions are a comprehensive tool for the characterization of hydrological...
