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

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

doi:10.5194/hess-30-1189-2026

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

Data sets

Daily Snow Cover Fraction (SCF) for the nine river basins across Europe (1st October 2017 - 30th September 2023) V. Premier et al. /10.5281/zenodo.149616

Model code and software

vpremier/SCA4LISFLOOD: v1.0.0 Valentina Premier https://doi.org/10.5281/zenodo.18800162

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.