Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 5
Articles | Volume 28, issue 5
https://doi.org/10.5194/hess-28-1127-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-1127-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 5
Research article
 | 
06 Mar 2024
Research article |  | 06 Mar 2024

On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow

Dipti Tiwari, Mélanie Trudel, and Robert Leconte

Viewed

Total article views: 2,931 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,143 712 76 2,931 197 83 108
  • HTML: 2,143
  • PDF: 712
  • XML: 76
  • Total: 2,931
  • Supplement: 197
  • BibTeX: 83
  • EndNote: 108
Views and downloads (calculated since 11 Aug 2023)
Cumulative views and downloads (calculated since 11 Aug 2023)

Viewed (geographical distribution)

Total article views: 2,931 (including HTML, PDF, and XML) Thereof 2,854 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Calibrating hydrological models with multi-objective functions enhances model robustness. By using spatially distributed snow information in the calibration, the model performance can be enhanced without compromising the outputs. In this study the HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (spatial efficiency) metric alongside Nash–Sutcliffe efficiency (NSE) and root-mean-square error (RMSE), with the aim of identifying the optimal calibration strategy.
Read more
Share