Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2817-2017
© 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-21-2817-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics
Simon Paul Seibert
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology (KIT), Institute for Water and River Basin Management,
Chair of Hydrology, Kaiserstrasse 12, 76131 Karlsruhe, Germany
Conrad Jackisch
Karlsruhe Institute of Technology (KIT), Institute for Water and River Basin Management,
Chair of Hydrology, Kaiserstrasse 12, 76131 Karlsruhe, Germany
Uwe Ehret
Karlsruhe Institute of Technology (KIT), Institute for Water and River Basin Management,
Chair of Hydrology, Kaiserstrasse 12, 76131 Karlsruhe, Germany
Laurent Pfister
Luxembourg Institute of Science and Technology, Department Environmental Research
and Innovation, Catchment and Eco-hydrology research group, 5 avenue des
Hauts-Fourneaux, 4362 Esch/Alzette, Luxembourg
Erwin Zehe
Karlsruhe Institute of Technology (KIT), Institute for Water and River Basin Management,
Chair of Hydrology, Kaiserstrasse 12, 76131 Karlsruhe, Germany
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Cited
15 citations as recorded by crossref.
- On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
- Landscape change and climate attribution, with a case study of estuarine marshes J. Phillips 10.1016/j.geomorph.2023.108666
- Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration S. Hassler et al. 10.5194/hess-22-13-2018
- Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery M. Antonelli et al. 10.1002/hyp.13698
- 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
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey 10.5194/hess-27-2591-2023
- Regionalisierung von Abflussdauerlinien S. Peschko-Ziesak et al. 10.1007/s35147-023-1844-0
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
- Flood process types and runoff coefficient variability in climatic regions of Iran A. Jahanshahi & M. Booij 10.1080/02626667.2024.2302420
- Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics S. Seibert et al. 10.5194/hess-21-2817-2017
- Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events S. Karimi et al. 10.1002/hyp.14998
- Disentangling timing and amplitude errors in streamflow simulations S. Seibert et al. 10.5194/hess-20-3745-2016
- Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. 10.5194/hess-21-423-2017
- Exploring controls on rainfall–runoff events: spatial dynamics of event runoff coefficients in Iran A. Jahanshahi & M. Booij 10.1080/02626667.2023.2193297
9 citations as recorded by crossref.
- On the dynamic nature of hydrological similarity R. Loritz et al. 10.5194/hess-22-3663-2018
- The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
- Landscape change and climate attribution, with a case study of estuarine marshes J. Phillips 10.1016/j.geomorph.2023.108666
- Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration S. Hassler et al. 10.5194/hess-22-13-2018
- Saturated areas through the lens: 1. Spatio‐temporal variability of surface saturation documented through thermal infrared imagery M. Antonelli et al. 10.1002/hyp.13698
- 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
- Technical note: Complexity–uncertainty curve (c-u-curve) – a method to analyse, classify and compare dynamical systems U. Ehret & P. Dey 10.5194/hess-27-2591-2023
- Regionalisierung von Abflussdauerlinien S. Peschko-Ziesak et al. 10.1007/s35147-023-1844-0
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
6 citations as recorded by crossref.
- Flood process types and runoff coefficient variability in climatic regions of Iran A. Jahanshahi & M. Booij 10.1080/02626667.2024.2302420
- Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics S. Seibert et al. 10.5194/hess-21-2817-2017
- Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events S. Karimi et al. 10.1002/hyp.14998
- Disentangling timing and amplitude errors in streamflow simulations S. Seibert et al. 10.5194/hess-20-3745-2016
- Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. 10.5194/hess-21-423-2017
- Exploring controls on rainfall–runoff events: spatial dynamics of event runoff coefficients in Iran A. Jahanshahi & M. Booij 10.1080/02626667.2023.2193297
Saved (preprint)
Latest update: 20 Nov 2024
Short summary
Runoff production mechanisms and their corresponding physiographic controls continue to pose major research challenges in catchment hydrology. We propose innovative data-driven diagnostic signatures for overcoming the prevailing status quo in inter-comparison studies. Specifically, we present dimensionless double mass curves which allow us to infer information on runoff generation at the seasonal and annual timescales. The method is based on commonly available data.
Runoff production mechanisms and their corresponding physiographic controls continue to pose...