Articles | Volume 21, issue 8
https://doi.org/10.5194/hess-21-3953-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-3953-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
HESS Opinions: The complementary merits of competing modelling philosophies in hydrology
Markus Hrachowitz
CORRESPONDING AUTHOR
Faculty of Civil Engineering and Geosciences, Delft University of
Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Martyn P. Clark
National Center for Atmospheric Research, Boulder CO, 80301, USA
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112 citations as recorded by crossref.
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- Simulating internal watershed processes using multiple SWAT models A. Apostel et al. 10.1016/j.scitotenv.2020.143920
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- Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
- Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0 P. Uhe et al. 10.5194/gmd-14-4865-2021
- Assessment of Suitable Gridded Climate Datasets for Large-Scale Hydrological Modelling over South Korea D. Lee & K. Ahn 10.3390/rs14153535
- Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain F. Hosseini et al. 10.1016/j.jhydrol.2024.132003
- A simple topography-driven and calibration-free runoff generation module H. Gao et al. 10.5194/hess-23-787-2019
- Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
- Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
- Spatio‐temporal discretization uncertainty of distributed hydrological models S. Markhali et al. 10.1002/hyp.14635
- HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
- A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
- Assessing effects of model complexity and structure on predictions of hydrological responses using serial and parallel model design H. Chien & D. Mackay 10.1002/hyp.13594
- The T‐TEL Method for Assessing Water, Sediment, and Chemical Connectivity G. Ali et al. 10.1002/2017WR020707
- Watersheds and stream networks viewed longitudinally: Example insights from novel spatial portrayals of watershed characteristics S. Raulerson et al. 10.1002/rra.4107
- Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake L. Shu et al. 10.5194/hess-28-1477-2024
- Probing the limit of hydrologic predictability with the Transformer network J. Liu et al. 10.1016/j.jhydrol.2024.131389
- A unified runoff generation scheme for applicability across different hydrometeorological zones Q. Zhang et al. 10.1016/j.envsoft.2024.106138
- Reduction of vegetation-accessible water storage capacity after deforestation affects catchment travel time distributions and increases young water fractions in a headwater catchment M. Hrachowitz et al. 10.5194/hess-25-4887-2021
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Short summary
Physically based and conceptual models in hydrology are the two endpoints in the spectrum of modelling strategies, mostly differing in their degree of detail in resolving the model domain. Given the limitations both modelling strategies face, we believe that to achieve progress in hydrological modelling, a convergence of these methods is necessary. This would allow us to exploit the respective advantages of the bottom-up and top-down models while limiting their respective uncertainties.
Physically based and conceptual models in hydrology are the two endpoints in the spectrum of...
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