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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Mar 2026
Research article |
| 03 Mar 2026
| 03 Mar 2026
Assessing the impact of Earth Observation data-driven calibration of the melting coefficient on the LISFLOOD snow module
Valentina Premier
CORRESPONDING AUTHOR
Institute for Earth Observation, Eurac Research, Bolzano, Italy
Francesca Moschini
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Ispra, Italy
Rey Juan Carlos University, Madrid, Spain
Jesús Casado-Rodríguez
European Commission, Joint Research Centre (JRC), Ispra, Italy
Davide Bavera
Arcadia SIT, Milano, Italy
Carlo Marin
Institute for Earth Observation, Eurac Research, Bolzano, Italy
Alberto Pistocchi
European Commission, Joint Research Centre (JRC), Ispra, Italy
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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.
This study evaluates the snow module of LISFLOOD by replacing the discharge-calibrated snowmelt...
