Articles | Volume 21, issue 11
Hydrol. Earth Syst. Sci., 21, 5663–5679, 2017
https://doi.org/10.5194/hess-21-5663-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 5663–5679, 2017
https://doi.org/10.5194/hess-21-5663-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
15 Nov 2017
Research article
| 15 Nov 2017
Identifying the connective strength between model parameters and performance criteria
Björn Guse et al.
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Cited
18 citations as recorded by crossref.
- Variable Infiltration-Capacity Model Sensitivity, Parameter Uncertainty, and Data Augmentation for the Diyala River Basin in Iraq S. Waheed et al. 10.1061/(ASCE)HE.1943-5584.0001975
- Assessing the impact of a multimetric calibration procedure on modelling performance in a headwater catchment in Mau Forest, Kenya A. Kamamia et al. 10.1016/j.ejrh.2018.12.005
- Analysis of the Relative Importance of Model Parameters in Watersheds with Different Hydrological Regimes Y. Medina & E. Muñoz 10.3390/w12092376
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. 10.1080/02626667.2020.1734204
- Responses of hydrological model equifinality, uncertainty, and performance to multi-objective parameter calibration Y. Her & C. Seong 10.2166/hydro.2018.108
- Modeling the impact of agricultural crops on the spatial and seasonal variability of water balance components in the Lake Tana basin, Ethiopia T. Tigabu et al. 10.2166/nh.2019.170
- Hydrological evaluation of global gridded precipitation datasets in a heterogeneous and data-scarce basin in Iran M. Khoshchehreh et al. 10.1007/s12040-020-01462-5
- Do model parameters change under changing climate and land use in the upstream of the Lancang River Basin, China? D. Ma et al. 10.1080/02626667.2020.1782915
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- Using numerical modeling error analysis methods to indicate changes in a watershed K. Mátyás & K. Bene 10.1556/606.2018.13.3.17
- Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
- Flood hydrograph prediction in a semiarid mountain catchment: The role of catchment subdivision H. Rezaei‐Sadr 10.1111/jfr3.12568
- How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures T. Pilz et al. 10.1029/2020WR028042
- A review of alternative climate products for SWAT modelling: Sources, assessment and future directions M. Tan et al. 10.1016/j.scitotenv.2021.148915
- When is a hydrological model sufficiently calibrated to depict flow preferences of riverine species? J. Kiesel et al. 10.1002/eco.2193
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
- Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening P. Bai et al. 10.1016/j.scitotenv.2018.06.233
- Distinguishing the Relative Contribution of Environmental Factors to Runoff Change in the Headwaters of the Yangtze River M. Guo et al. 10.3390/w11071432
16 citations as recorded by crossref.
- Variable Infiltration-Capacity Model Sensitivity, Parameter Uncertainty, and Data Augmentation for the Diyala River Basin in Iraq S. Waheed et al. 10.1061/(ASCE)HE.1943-5584.0001975
- Assessing the impact of a multimetric calibration procedure on modelling performance in a headwater catchment in Mau Forest, Kenya A. Kamamia et al. 10.1016/j.ejrh.2018.12.005
- Analysis of the Relative Importance of Model Parameters in Watersheds with Different Hydrological Regimes Y. Medina & E. Muñoz 10.3390/w12092376
- Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. 10.1080/02626667.2020.1734204
- Responses of hydrological model equifinality, uncertainty, and performance to multi-objective parameter calibration Y. Her & C. Seong 10.2166/hydro.2018.108
- Modeling the impact of agricultural crops on the spatial and seasonal variability of water balance components in the Lake Tana basin, Ethiopia T. Tigabu et al. 10.2166/nh.2019.170
- Hydrological evaluation of global gridded precipitation datasets in a heterogeneous and data-scarce basin in Iran M. Khoshchehreh et al. 10.1007/s12040-020-01462-5
- Do model parameters change under changing climate and land use in the upstream of the Lancang River Basin, China? D. Ma et al. 10.1080/02626667.2020.1782915
- Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
- Using numerical modeling error analysis methods to indicate changes in a watershed K. Mátyás & K. Bene 10.1556/606.2018.13.3.17
- Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
- Flood hydrograph prediction in a semiarid mountain catchment: The role of catchment subdivision H. Rezaei‐Sadr 10.1111/jfr3.12568
- How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures T. Pilz et al. 10.1029/2020WR028042
- A review of alternative climate products for SWAT modelling: Sources, assessment and future directions M. Tan et al. 10.1016/j.scitotenv.2021.148915
- When is a hydrological model sufficiently calibrated to depict flow preferences of riverine species? J. Kiesel et al. 10.1002/eco.2193
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
2 citations as recorded by crossref.
- Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening P. Bai et al. 10.1016/j.scitotenv.2018.06.233
- Distinguishing the Relative Contribution of Environmental Factors to Runoff Change in the Headwaters of the Yangtze River M. Guo et al. 10.3390/w11071432
Latest update: 08 Aug 2022
Short summary
Performance measures are used to evaluate the representation of hydrological processes in parameters of hydrological models. In this study, we investigated how strongly model parameters and performance measures are connected. It was found that relationships are different for varying flow conditions, indicating that precise parameter identification requires multiple performance measures. The suggested approach contributes to a better handling of parameters in hydrological modelling.
Performance measures are used to evaluate the representation of hydrological processes in...
