Articles | Volume 27, issue 12
https://doi.org/10.5194/hess-27-2283-2023
https://doi.org/10.5194/hess-27-2283-2023
Research article
 | 
21 Jun 2023
Research article |  | 21 Jun 2023

Snow data assimilation for seasonal streamflow supply prediction in mountainous basins

Sammy Metref, Emmanuel Cosme, Matthieu Le Lay, and Joël Gailhard

Viewed

Total article views: 1,624 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,232 337 55 1,624 40 38
  • HTML: 1,232
  • PDF: 337
  • XML: 55
  • Total: 1,624
  • BibTeX: 40
  • EndNote: 38
Views and downloads (calculated since 14 Jun 2022)
Cumulative views and downloads (calculated since 14 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,624 (including HTML, PDF, and XML) Thereof 1,589 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
Predicting the seasonal streamflow supply of water in a mountainous basin is critical to anticipating the operation of hydroelectric dams and avoiding hydrology-related hazard. This quantity partly depends on the snowpack accumulated during winter. The study addresses this prediction problem using information from streamflow data and both direct and indirect snow measurements. In this study, the prediction is improved by integrating the data information into a basin-scale hydrological model.