Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 4
Articles | Volume 30, issue 4
https://doi.org/10.5194/hess-30-1189-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-1189-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 4
Research article
 | 
03 Mar 2026
Research article |  | 03 Mar 2026

Assessing the impact of Earth Observation data-driven calibration of the melting coefficient on the LISFLOOD snow module

Valentina Premier, Francesca Moschini, Jesús Casado-Rodríguez, Davide Bavera, Carlo Marin, and Alberto Pistocchi

Viewed

Total article views: 4,990 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,102 675 213 4,990 176 199
  • HTML: 4,102
  • PDF: 675
  • XML: 213
  • Total: 4,990
  • BibTeX: 176
  • EndNote: 199
Views and downloads (calculated since 20 May 2025)
Cumulative views and downloads (calculated since 20 May 2025)

Viewed (geographical distribution)

Total article views: 4,990 (including HTML, PDF, and XML) Thereof 4,841 with geography defined and 149 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 02 Nov 2026
Download
Short summary
This study evaluates the snow module of LISFLOOD by replacing the discharge-calibrated snowmelt coefficient with pixel-wise values calibrated using EO (Earth Observation) snow cover fraction after standard streamflow calibration. Using a gap-filled high-resolution daily snow dataset, the approach improves snow cover representation across European basins while largely preserving discharge performance, without requiring full model recalibration.
Read more
Share
Altmetrics
Final-revised paper
Preprint