Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jul 2022
Research article |
| 07 Jul 2022
| 07 Jul 2022
Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient
Ulises M. Sepúlveda
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Advanced Mining Technology Center, Universidad de Chile, Santiago,
Chile
Naoki Mizukami
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Andrew J. Newman
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
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Cited
16 citations as recorded by crossref.
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- Hydrologic Sensitivity of a Critical Turkish Watershed to Inform Water Resource Management in an Altered Climate F. Cevahir et al. 10.3390/hydrology11050064
- 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
- Understanding Complex Processes of Flood Inundation in a Regulated Coastal Lowland River: A Modelling Framework Integrating Hydrological, Hydraulic, Tidal and Geomorphic Data Z. Beg et al. 10.1002/hyp.70227
- Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient Z. Liu et al. 10.1007/s11269-022-03287-x
- Sensitivity of snow magnitude and duration to hydrology model parameters B. Singh et al. 10.1016/j.jhydrol.2024.132193
- A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments P. Yeste et al. 10.5194/hess-28-5331-2024
- Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models E. Muñoz-Castro et al. 10.1080/02626667.2023.2231434
- Analyzing Snow Parameters Dynamics in Arunachal Pradesh’s Glaciated River Basins Through Spatially Distributed Snowmelt Runoff Model (SDSRM): Dibang, Mago and Subansiri M. Vese et al. 10.1007/s12524-024-01899-x
- Representing subgrid precipitation variability in snowpack and hydrological modeling: Is adding complexity worth it? F. Givovich et al. 10.1016/j.jhydrol.2025.134038
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
- Using Data-Driven Prediction of Downstream 1D River Flow to Overcome the Challenges of Hydrologic River Modeling J. Feinstein et al. 10.3390/w15213843
- A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
- Incorporating relative humidity in precipitation phase partitioning reduces model bias for some snow and streamflow metrics across the Northwest US B. Singh et al. 10.1016/j.jhydrol.2025.133833
16 citations as recorded by crossref.
- Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach S. Larabi et al. 10.5194/hess-27-3241-2023
- Impacts of Subgrid Temperature Distribution Along Elevation Bands in Snowpack Modeling: Insights From a Suite of Andean Catchments O. Murillo et al. 10.1029/2022WR032113
- Hydrologic Sensitivity of a Critical Turkish Watershed to Inform Water Resource Management in an Altered Climate F. Cevahir et al. 10.3390/hydrology11050064
- 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
- Understanding Complex Processes of Flood Inundation in a Regulated Coastal Lowland River: A Modelling Framework Integrating Hydrological, Hydraulic, Tidal and Geomorphic Data Z. Beg et al. 10.1002/hyp.70227
- Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient Z. Liu et al. 10.1007/s11269-022-03287-x
- Sensitivity of snow magnitude and duration to hydrology model parameters B. Singh et al. 10.1016/j.jhydrol.2024.132193
- A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments P. Yeste et al. 10.5194/hess-28-5331-2024
- Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models E. Muñoz-Castro et al. 10.1080/02626667.2023.2231434
- Analyzing Snow Parameters Dynamics in Arunachal Pradesh’s Glaciated River Basins Through Spatially Distributed Snowmelt Runoff Model (SDSRM): Dibang, Mago and Subansiri M. Vese et al. 10.1007/s12524-024-01899-x
- Representing subgrid precipitation variability in snowpack and hydrological modeling: Is adding complexity worth it? F. Givovich et al. 10.1016/j.jhydrol.2025.134038
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
- Using Data-Driven Prediction of Downstream 1D River Flow to Overcome the Challenges of Hydrologic River Modeling J. Feinstein et al. 10.3390/w15213843
- A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
- Incorporating relative humidity in precipitation phase partitioning reduces model bias for some snow and streamflow metrics across the Northwest US B. Singh et al. 10.1016/j.jhydrol.2025.133833
Latest update: 15 Aug 2025
Short summary
This paper characterizes parameter sensitivities across more than 5500 grid cells for a commonly used macroscale hydrological model, including a suite of eight performance metrics and 43 soil, vegetation and snow parameters. The results show that the model is highly overparameterized and, more importantly, help to provide guidance on the most relevant parameters for specific target processes across diverse climatic types.
This paper characterizes parameter sensitivities across more than 5500 grid cells for a commonly...
