Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale
- DOI
- 10.1038/s41598-026-46403-2
- Published
- 2026-03-30
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-46403-2,
title = {Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale},
author = {Mitra Tanhapour and Juraj Parajka and Gabriele Schwaizer and Mariette Vreugdenhil and Silvia Kohnová and Kamila Hlavčová and Roman Výleta and Ján Szolgay},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-46403-2},
url = {https://doi.org/10.1038/s41598-026-46403-2}
}RIS
TY - JOUR TI - Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale AU - Mitra Tanhapour AU - Juraj Parajka AU - Gabriele Schwaizer AU - Mariette Vreugdenhil AU - Silvia Kohnová AU - Kamila Hlavčová AU - Roman Výleta AU - Ján Szolgay PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-46403-2 UR - https://doi.org/10.1038/s41598-026-46403-2 ER -
APA
Tanhapour, M., Parajka, J., Schwaizer, G., Vreugdenhil, M., Kohnová, S., Hlavčová, K., Výleta, R., & Szolgay, J. (2026). Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale. Scientific Reports. https://doi.org/10.1038/s41598-026-46403-2
Source records
- crossref · retrieved 2026-09-26T15:51:17.636Z