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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- Consistency of Extreme Flood Estimation Approaches G. Felder et al. 10.1061/(ASCE)HE.1943-5584.0001797
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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
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- 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
- 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
- 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
- Strategies for hydrologic ensemble generation and calibration: On the merits of using model-based predictors A. Tiberi-Wadier et al. 10.1016/j.jhydrol.2021.126233
- A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. 10.1007/s13201-024-02149-8
- Prévision hydrométéorologique opérationnelle à EDF-DTG – Progrès récents et état des lieux en 2018 L. Moulin et al. 10.1051/lhb/2019014
- Is hillslope-based catchment decomposition approach superior to hydrologic response unit (HRU) for stream-aquifer interaction modelling: Inference from two process-based coupled models S. Sahoo & B. Sahoo 10.1016/j.jhydrol.2020.125588
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- The hazards of split-sample validation in hydrological model calibration R. Arsenault et al. 10.1016/j.jhydrol.2018.09.027
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- Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
- Error covariance tuning in variational data assimilation: application to an operating hydrological model S. Cheng et al. 10.1007/s00477-020-01933-7
- Impact of mesoscale spatial variability of climatic inputs and parameters on the hydrological response L. Rouhier et al. 10.1016/j.jhydrol.2017.07.037
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- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
Latest update: 17 Jul 2024
