Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3663-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-22-3663-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the dynamic nature of hydrological similarity
Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Karlsruhe, Germany
Hoshin Gupta
University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, USA
Conrad Jackisch
Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Karlsruhe, Germany
Martijn Westhoff
Vrije Universiteit, Department of Earth Science, Amsterdam, the Netherlands
Axel Kleidon
Max Planck Institute for Biogeochemistry, Jena, Germany
Uwe Ehret
Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Karlsruhe, Germany
Erwin Zehe
Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Karlsruhe, Germany
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- On the Ability of LIDAR Snow Depth Measurements to Determine or Evaluate the HRU Discretization in a Land Surface Model M. Weber et al. 10.3390/hydrology7020020
- Analyzing Groundwater Recharge and Vadose Zone Dynamics by Combining Soil Moisture and Groundwater Level Data with a Numerical Model in Subarctic Conditions M. Tähtikarhu & J. Okkonen 10.1061/JHYEFF.HEENG-5842
- Simple Catchments and Where to Find Them: The Storage-Discharge Relationship as a Proxy for Catchment Complexity F. Jehn et al. 10.3389/frwa.2021.631651
- A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions N. Rodriguez et al. 10.5194/hess-25-401-2021
- Similarity of catchment dynamics based on the interaction between streamflow and forcing time series: Use of a transfer entropy signature M. Neri et al. 10.1016/j.jhydrol.2022.128555
- To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al. 10.5194/hess-28-2705-2024
- Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics S. Thiesen et al. 10.5194/hess-24-4523-2020
- Assessment of freshwater discharge into a coastal bay through multi-basin ensemble hydrological modelling A. de Lavenne & C. Cudennec 10.1016/j.scitotenv.2019.02.387
- Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. 10.5194/hess-25-5337-2021
- Energy states of soil water – a thermodynamic perspective on soil water dynamics and storage-controlled streamflow generation in different landscapes E. Zehe et al. 10.5194/hess-23-971-2019
- Quantitative precipitation estimation with weather radar using a data- and information-based approach M. Neuper & U. Ehret 10.5194/hess-23-3711-2019
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Modeling seasonal soil moisture dynamics in gley soils in relation to groundwater table oscillations in eastern Croatia V. Krevh et al. 10.1016/j.catena.2021.105987
- Improving hydrologic models for predictions and process understanding using neural ODEs M. Höge et al. 10.5194/hess-26-5085-2022
- What is the worth of drain discharge and surface runoff data in hydrological simulations? M. Turunen et al. 10.1016/j.jhydrol.2020.125030
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Fast motion view of a headwater creek—A hydrological year seen through time‐lapse photography L. Pfister et al. 10.1002/hyp.15026
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
- Evaluation of Catchments’ Similarity by Penalization in the Context of Engineering Tasks—A Case Study of Four Slovakian Catchments M. Cisty et al. 10.3390/w13202894
- Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado P. Jiang et al. 10.5194/hess-27-2621-2023
- SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates M. Mälicke et al. 10.1016/j.spasta.2023.100737
- The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. 10.1016/j.envsoft.2022.105562
- Evaluation of the extended applicability of a simulated hydrological Tank model at the Ca River Basin sub-catchments H. Phuong & L. Huu 10.2166/wpt.2023.104
- Surface water and groundwater: unifying conceptualization and quantification of the two “water worlds” B. Berkowitz & E. Zehe 10.5194/hess-24-1831-2020
- Hydraulic conductivity of gravelly soils with various coarse particle contents subjected to freeze–thaw cycles Y. Lu et al. 10.1016/j.jhydrol.2021.126302
- Interpretation of multi-scale permeability data through an information theory perspective A. Dell'Oca et al. 10.5194/hess-24-3097-2020
- Modeling streamflow variability at the regional scale: (2) Development of a bespoke distributed conceptual model F. Fenicia et al. 10.1016/j.jhydrol.2021.127286
- Channel‐reach morphology and landscape properties are linked across a large heterogeneous region B. Lane et al. 10.1002/esp.5246
- Hydrological Similarity-Based Parameter Regionalization under Different Climate and Underlying Surfaces in Ungauged Basins H. Wang et al. 10.3390/w13182508
- Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis F. Fenicia & J. McDonnell 10.1016/j.jhydrol.2021.127287
- A history of TOPMODEL K. Beven et al. 10.5194/hess-25-527-2021
- Causes of dependence between extreme floods C. Deidda et al. 10.1088/1748-9326/ac07d5
Latest update: 25 Dec 2024
Short summary
In this study we explore the role of spatially distributed information on hydrological modeling. For that, we develop and test an approach which draws upon information theory and thermodynamic reasoning. We show that the proposed set of methods provide a powerful framework for understanding and diagnosing how and when process organization and functional similarity of hydrological systems emerge in time and, hence, when which landscape characteristic is important in a model application.
In this study we explore the role of spatially distributed information on hydrological modeling....