Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-4861-2014
© Author(s) 2014. 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-18-4861-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Dec 2014
Research article |
| 05 Dec 2014
A constraint-based search algorithm for parameter identification of environmental models
S. Gharari
CORRESPONDING AUTHOR
Public Research Center–Gabriel Lippmann, Belvaux, Luxembourg
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
M. Shafiei
Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
M. Hrachowitz
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
F. Fenicia
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
H. V. Gupta
Department of Hydrology and Water Resources, The University of Arizona, Tucson, AZ, USA
H. H. G. Savenije
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
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Cited
28 citations as recorded by crossref.
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. 10.5194/hess-18-4839-2014
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Catchment coevolution: A useful framework for improving predictions of hydrological change? P. Troch et al. 10.1002/2015WR017032
- Signatures of human intervention – or not? Downstream intensification of hydrological drought along a large Central Asian river: the individual roles of climate variability and land use change A. Roodari et al. 10.5194/hess-25-1943-2021
- Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. 10.5194/hess-23-1801-2019
- A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. 10.1002/2016WR019736
- Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
- A method to employ the spatial organization of catchments into semi-distributed rainfall–runoff models H. Oppel & A. Schumann 10.5194/hess-21-4259-2017
- Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States O. Rakovec et al. 10.1029/2019JD030767
- Optimal design of experiments to improve the characterisation of atrazine degradation pathways in soil L. Chavez Rodriguez et al. 10.1111/ejss.13211
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. 10.1080/02626667.2020.1734204
- Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches J. Song et al. 10.3390/w12041125
- The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
- Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model S. Mohammed et al. 10.3390/w13070970
- Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
- The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson 10.1002/2014WR016520
- Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
- Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China H. Gao et al. 10.5194/hess-18-1895-2014
- Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
26 citations as recorded by crossref.
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. 10.5194/hess-18-4839-2014
- Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
- Catchment coevolution: A useful framework for improving predictions of hydrological change? P. Troch et al. 10.1002/2015WR017032
- Signatures of human intervention – or not? Downstream intensification of hydrological drought along a large Central Asian river: the individual roles of climate variability and land use change A. Roodari et al. 10.5194/hess-25-1943-2021
- Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. 10.5194/hess-23-1801-2019
- A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. 10.1002/2016WR019736
- Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
- A method to employ the spatial organization of catchments into semi-distributed rainfall–runoff models H. Oppel & A. Schumann 10.5194/hess-21-4259-2017
- Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States O. Rakovec et al. 10.1029/2019JD030767
- Optimal design of experiments to improve the characterisation of atrazine degradation pathways in soil L. Chavez Rodriguez et al. 10.1111/ejss.13211
- Hydro-pedotransfer functions: a roadmap for future development T. Weber et al. 10.5194/hess-28-3391-2024
- A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. 10.1080/02626667.2020.1734204
- Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches J. Song et al. 10.3390/w12041125
- The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
- Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model S. Mohammed et al. 10.3390/w13070970
- Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
- The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson 10.1002/2014WR016520
- Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
2 citations as recorded by crossref.
- Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China H. Gao et al. 10.5194/hess-18-1895-2014
- Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
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