Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2633-2020
© Author(s) 2020. 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-24-2633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2020
Research article |
| 25 May 2020
| 25 May 2020
Soil moisture: variable in space but redundant in time
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Sibylle K. Hassler
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Theresa Blume
GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany
Markus Weiler
Hydrology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Erwin Zehe
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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Cited
22 citations as recorded by crossref.
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
- Using observed soil moisture to constrain the uncertainty of simulated hydrological fluxes A. Ireson et al. 10.1002/hyp.14465
- SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python M. Mälicke 10.5194/gmd-15-2505-2022
- Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. 10.5194/hess-25-5337-2021
- Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain E. Carbó et al. 10.3390/rs13245155
- High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States N. Vergopolan et al. 10.1029/2022GL098586
- Interpretation of multi-scale permeability data through an information theory perspective A. Dell'Oca et al. 10.5194/hess-24-3097-2020
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Repeating patterns in runoff time series: A basis for exploring hydrologic similarity of precipitation and catchment wetness conditions A. Hövel et al. 10.1016/j.jhydrol.2023.130585
- A signature‐based approach to quantify soil moisture dynamics under contrasting land‐uses R. Araki et al. 10.1002/hyp.14553
- A dataset of shallow soil moisture for alfalfa in the Ningxia irrigation area of the Yellow River Y. Ge et al. 10.3389/fpls.2024.1472930
- Global soil moisture data derived through machine learning trained with in-situ measurements S. O. & R. Orth 10.1038/s41597-021-00964-1
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
- Deep desiccation of soils observed by long-term high-resolution measurements on a large inclined lysimeter M. Merk et al. 10.5194/hess-25-3519-2021
- Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data J. Wang et al. 10.1016/j.agwat.2022.107674
- Comparison of Soil Water Content from SCATSAR-SWI and Cosmic Ray Neutron Sensing at Four Agricultural Sites in Northern Italy: Insights from Spatial Variability and Representativeness S. Emamalizadeh et al. 10.3390/rs16183384
- SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates M. Mälicke et al. 10.1016/j.spasta.2023.100737
- Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics S. Thiesen et al. 10.5194/hess-24-4523-2020
- Spatiotemporal Analysis of Soil Moisture Variation in the Jiangsu Water Supply Area of the South-to-North Water Diversion Using ESA CCI Data Y. Wang et al. 10.3390/rs14020256
- Self organizing hydrological processes in a runoff source area N. Brindt et al. 10.1016/j.catena.2021.105955
- Event controls on intermittent streamflow in a temperate climate N. Kaplan et al. 10.5194/hess-26-2671-2022
- Assessing soil water content variation in a small mountainous catchment over different time scales and land covers using geographical variables F. Mallet et al. 10.1016/j.jhydrol.2020.125593
22 citations as recorded by crossref.
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al. 10.5194/essd-16-2007-2024
- Using observed soil moisture to constrain the uncertainty of simulated hydrological fluxes A. Ireson et al. 10.1002/hyp.14465
- SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python M. Mälicke 10.5194/gmd-15-2505-2022
- Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. 10.5194/hess-25-5337-2021
- Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain E. Carbó et al. 10.3390/rs13245155
- High‐Resolution Soil Moisture Data Reveal Complex Multi‐Scale Spatial Variability Across the United States N. Vergopolan et al. 10.1029/2022GL098586
- Interpretation of multi-scale permeability data through an information theory perspective A. Dell'Oca et al. 10.5194/hess-24-3097-2020
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Repeating patterns in runoff time series: A basis for exploring hydrologic similarity of precipitation and catchment wetness conditions A. Hövel et al. 10.1016/j.jhydrol.2023.130585
- A signature‐based approach to quantify soil moisture dynamics under contrasting land‐uses R. Araki et al. 10.1002/hyp.14553
- A dataset of shallow soil moisture for alfalfa in the Ningxia irrigation area of the Yellow River Y. Ge et al. 10.3389/fpls.2024.1472930
- Global soil moisture data derived through machine learning trained with in-situ measurements S. O. & R. Orth 10.1038/s41597-021-00964-1
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
- Deep desiccation of soils observed by long-term high-resolution measurements on a large inclined lysimeter M. Merk et al. 10.5194/hess-25-3519-2021
- Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data J. Wang et al. 10.1016/j.agwat.2022.107674
- Comparison of Soil Water Content from SCATSAR-SWI and Cosmic Ray Neutron Sensing at Four Agricultural Sites in Northern Italy: Insights from Spatial Variability and Representativeness S. Emamalizadeh et al. 10.3390/rs16183384
- SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates M. Mälicke et al. 10.1016/j.spasta.2023.100737
- Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics S. Thiesen et al. 10.5194/hess-24-4523-2020
- Spatiotemporal Analysis of Soil Moisture Variation in the Jiangsu Water Supply Area of the South-to-North Water Diversion Using ESA CCI Data Y. Wang et al. 10.3390/rs14020256
- Self organizing hydrological processes in a runoff source area N. Brindt et al. 10.1016/j.catena.2021.105955
- Event controls on intermittent streamflow in a temperate climate N. Kaplan et al. 10.5194/hess-26-2671-2022
- Assessing soil water content variation in a small mountainous catchment over different time scales and land covers using geographical variables F. Mallet et al. 10.1016/j.jhydrol.2020.125593
Latest update: 13 Dec 2024
Short summary
We could show that distributed soil moisture time series bear a considerable amount of information about dynamic changes in soil moisture. We developed a new method to describe spatial patterns and analyze their persistency. By combining uncertainty propagation with information theory, we were able to calculate the information content of spatial similarity with respect to measurement uncertainty. This does help to understand when and why the soil is drying in an organized manner.
We could show that distributed soil moisture time series bear a considerable amount of...
