Revisiting parameter sensitivities in the variable infiltration  capacity model across a hydroclimatic gradient

Sepúlveda, Ulises M.; Mendoza, Pablo A.; Mizukami, Naoki; Newman, Andrew J.

doi:https://doi.org/10.5194/hess-26-3419-2022

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.

https://doi.org/10.5194/hess-26-3419-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 13

Research article

|

07 Jul 2022

Research article |

| 07 Jul 2022

Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient

Ulises M. Sepúlveda, Pablo A. Mendoza, Naoki Mizukami, and Andrew J. Newman

Data sets

EarthExplorer USGS https://earthexplorer.usgs.gov/

CR2MET: A high-resolution precipitation and temperature dataset for hydroclimatic research in Chile J. P. Boisier, C. Alvarez-Garretón, J. Cepeda, A. Osses, N. Vásquez, and R. Rondanelli https://www.cr2.cl/datos-productos-grillados/

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.