Articles | Volume 28, issue 5
https://doi.org/10.5194/hess-28-1127-2024
https://doi.org/10.5194/hess-28-1127-2024
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: 1,467 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,088 329 50 1,467 73 34 37
  • HTML: 1,088
  • PDF: 329
  • XML: 50
  • Total: 1,467
  • Supplement: 73
  • BibTeX: 34
  • EndNote: 37
Views and downloads (calculated since 11 Aug 2023)
Cumulative views and downloads (calculated since 11 Aug 2023)

Viewed (geographical distribution)

Total article views: 1,467 (including HTML, PDF, and XML) Thereof 1,421 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
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.