Articles | Volume 21, issue 8
https://doi.org/10.5194/hess-21-3937-2017
© 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-21-3937-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Aug 2017
Research article |
| 01 Aug 2017
Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach
Federico Garavaglia
CORRESPONDING AUTHOR
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Matthieu Le Lay
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Fréderic Gottardi
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Rémy Garçon
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Joël Gailhard
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Emmanuel Paquet
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
Thibault Mathevet
EDF-DTG, Department S, 21 avenue de l'Europe, BP 41, 38040 Grenoble cedex 09, France
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- Structural differences across hydrological models affect certainty of predictions of nature-based solution benefits A. Rebelo et al. 10.1016/j.ecolmodel.2024.110940
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- Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. 10.5194/hess-28-261-2024
- Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
- Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada P. Darbandsari & P. Coulibaly 10.1016/j.ejrh.2020.100730
- Assessing Fourier and Latin hypercube sampling methods as new multi-model methods for hydrological simulations A. Singh et al. 10.1007/s00477-023-02627-6
- Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
- Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland 10.1016/j.jhydrol.2024.130820
- Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al. 10.1016/j.jhydrol.2020.124698
- Investigating hydrological model versatility to simulate extreme flood events D. Peredo et al. 10.1080/02626667.2022.2030864
- Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds T. Mathevet et al. 10.5802/crgeos.189
- Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed N. Wang et al. 10.3390/su15086535
- Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
- A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model X. Guo et al. 10.1016/j.ejrh.2024.101944
- Cohérence des prévisions et place de l'expertise : les nouveaux défis pour la prévision des crues L. Berthet et al. 10.1051/lhb/2019001
- The S2M meteorological and snow cover reanalysis over the French mountainous areas: description and evaluation (1958–2021) M. Vernay et al. 10.5194/essd-14-1707-2022
- Development of the snow- and ice-accounting routine (SIAR) D. Ruelland 10.1016/j.jhydrol.2023.129867
- Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
- Rainfall-Runoff Modeling to Predict Maximum Daily Flow under Climate Change Conditions M. Bashirgonbad 10.52547/jwmr.13.26.115
- An empirical investigation into the effect of antecedent precipitation on flood volume B. Bennett et al. 10.1016/j.jhydrol.2018.10.025
- Etude de sensibilité globale comparée des modèles hydrologiques GRP et MORDOR-TS A. Tiberi-Wadier et al. 10.1080/27678490.2021.1977014
- A comprehensive intercomparison study between a lumped and a fully distributed hydrological model across a set of 50 catchments in the United Kingdom S. Sinha et al. 10.1002/hyp.14544
- Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting S. Shin et al. 10.1080/02626667.2024.2378100
- PREMHYCE : un outil opérationnel pour la prévision des étiages F. Tilmant et al. 10.1051/lhb/2020043
- Snow data assimilation for seasonal streamflow supply prediction in mountainous basins S. Metref et al. 10.5194/hess-27-2283-2023
- Extreme Low Flow Estimation under Climate Change S. Parey & J. Gailhard 10.3390/atmos13020164
- Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models? D. Ruelland 10.5194/hess-24-2609-2020
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- A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. 10.1007/s13201-024-02149-8
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Latest update: 22 Feb 2025
