Articles | Volume 13, issue 10
https://doi.org/10.5194/hess-13-1757-2009
© Author(s) 2009. 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-13-1757-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
HESS Opinions "Crash tests for a standardized evaluation of hydrological models"
V. Andréassian
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
C. Perrin
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
L. Berthet
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
AgroParisTech, Paris, France
N. Le Moine
EDF-LNHE, Chatou, France
J. Lerat
Cemagref, G-EAU Research Unit, Montpellier, France
now at: CSIRO, Canberra, Australia
C. Loumagne
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
L. Oudin
Université Pierre et Marie Curie, UMR Sisyphe, Paris, France
T. Mathevet
EDF-DTG, Grenoble, France
M.-H. Ramos
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
A. Valéry
Cemagref, Hydrosystems and Bioprocesses Research Unit, Antony, France
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- Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems I. Nalbantis et al. 10.5194/hess-15-743-2011
- The influence of conceptual model structure on model performance: a comparative study for 237 French catchments W. van Esse et al. 10.5194/hess-17-4227-2013
- An approach to the scaling problem in hydrological modelling: the deterministic modelling hydrological system Y. Vinogradov et al. 10.1002/hyp.7901
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- Results of the DMIP 2 Oklahoma experiments M. Smith et al. 10.1016/j.jhydrol.2011.08.056
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- Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall‐runoff models K. Fowler et al. 10.1002/2015WR018068
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- Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. 10.5194/hess-24-1319-2020
- Is the LSTM Model Better than RNN for Flood Forecasting Tasks? A Case Study of HuaYuankou Station and LouDe Station in the Lower Yellow River Basin Y. Wang et al. 10.3390/w15223928
- The Court of Miracles of Hydrology: can failure stories contribute to hydrological science? V. Andréassian et al. 10.1080/02626667.2010.506050
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- Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria A. Viglione et al. 10.5194/hess-17-2263-2013
- On the lack of robustness of hydrologic models regarding water balance simulation: a diagnostic approach applied to three models of increasing complexity on 20 mountainous catchments L. Coron et al. 10.5194/hess-18-727-2014
- Assessment of a multimodel ensemble against an operational hydrological forecasting system A. Thiboult & F. Anctil 10.1080/07011784.2015.1026402
- Discussion On “Incorporating Drought Management Planning into Determination of Yield” by B Berghout R. French & B. Berghout 10.7158/13241583.2012.11465398
- A qualitative model structure sensitivity analysis method to support model selection S. Van Hoey et al. 10.1016/j.jhydrol.2014.09.052
- Capacity of semi-parametric regression models to predict extreme-event water quality in the Northeastern US M. Hagemann & M. Park 10.1016/j.jhydrol.2017.02.017
- Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments G. Thirel et al. 10.1080/02626667.2014.967248
- Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al. 10.1016/j.jhydrol.2021.126394
- Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin D. Ba et al. 10.2478/johh-2023-0044
- Distributed source pollutant transport module based on BTOPMC: a case study of the Laixi River basin in the Sichuan province of southwest China H. Zhang et al. 10.5194/piahs-379-323-2018
- Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
- Using field data to inform and evaluate a new model of catchment hydrologic connectivity T. Smith et al. 10.1002/wrcr.20546
- On evaluating the robustness of spatial-proximity-based regionalization methods L. Lebecherel et al. 10.1016/j.jhydrol.2016.05.031
- Using models to inform water policy in a changing climate: comparing the Australian and Uruguayan experiences A. Silvarrey Barruffa et al. 10.1071/MF19266
- Does a successful comprehensive evaluation increase confidence in a hydrological model intended for climate impact assessment? A. Gelfan et al. 10.1007/s10584-020-02930-z
- A “monster” that made the SMAR conceptual model “right for the wrong reasons” M. Goswami & K. O'Connor 10.1080/02626667.2010.505170
- Discussion on ‘Recommended practice for hydrologic investigations and reporting’ by RJ Nathan and TA McMahon R. French & M. Jones 10.1080/13241583.2018.1478243
- 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
- Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014
- Comparing classical performance measures with signature indices derived from flow duration curves to assess model structures as tools for catchment classification R. Ley et al. 10.2166/nh.2015.221
- Hydrological regime of remote catchments with extreme gradients under accelerated change: the Baker basin in Patagonia A. Dussaillant J. et al. 10.1080/02626667.2012.726993
- Benchmarking hydrological models for low-flow simulation and forecasting on French catchments P. Nicolle et al. 10.5194/hess-18-2829-2014
- The transferability of hydrological models under nonstationary climatic conditions C. Li et al. 10.5194/hess-16-1239-2012
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