Articles | Volume 15, issue 9
https://doi.org/10.5194/tc-15-4607-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4607-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Sep 2021
Research article |
| 29 Sep 2021
| 29 Sep 2021
A seasonal algorithm of the snow-covered area fraction for mountainous terrain
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Michael Schirmer
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Jan Magnusson
Statkraft AS, Oslo, Norway
Flavia Mäder
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Alec van Herwijnen
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Louis Quéno
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Yves Bühler
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Jeff S. Deems
National Snow and Ice Data Center, University of Colorado, Boulder, CO, USA
Simon Gascoin
Centre d'Etudes Spatiales de la Biosphère, CESBIO, Univ. Toulouse, CNES/CNRS/INRAE/IRD/UPS, 31401 Toulouse, France
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Cited
10 citations as recorded by crossref.
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Characterizing Snow Dynamics in Semi-Arid Mountain Regions with Multitemporal Sentinel-1 Imagery: A Case Study in the Sierra Nevada, Spain P. Torralbo et al. 10.3390/rs15225365
- Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events M. Schirmer et al. 10.5194/tc-16-3469-2022
- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns J. Berg et al. 10.3389/feart.2024.1393260
- Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region A. Pongracz et al. 10.1038/s43247-024-01838-1
- Accounting for Topographic Effects on Snow Cover Fraction and Surface Albedo Simulations Over the Tibetan Plateau in Winter X. Miao et al. 10.1029/2022MS003035
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
- A Downscaling Intercomparison Study: The Representation of Slope- and Ridge-Scale Processes in Models of Different Complexity B. Kruyt et al. 10.3389/feart.2022.789332
9 citations as recorded by crossref.
- Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
- Characterizing Snow Dynamics in Semi-Arid Mountain Regions with Multitemporal Sentinel-1 Imagery: A Case Study in the Sierra Nevada, Spain P. Torralbo et al. 10.3390/rs15225365
- Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events M. Schirmer et al. 10.5194/tc-16-3469-2022
- Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns J. Berg et al. 10.3389/feart.2024.1393260
- Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region A. Pongracz et al. 10.1038/s43247-024-01838-1
- Accounting for Topographic Effects on Snow Cover Fraction and Surface Albedo Simulations Over the Tibetan Plateau in Winter X. Miao et al. 10.1029/2022MS003035
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
Latest update: 14 Jan 2025
Short summary
The snow cover spatial variability in mountains changes considerably over the course of a snow season. In applications such as weather, climate and hydrological predictions the fractional snow-covered area is therefore an essential parameter characterizing how much of the ground surface in a grid cell is currently covered by snow. We present a seasonal algorithm and a spatiotemporal evaluation suggesting that the algorithm can be applied in other geographic regions by any snow model application.
The snow cover spatial variability in mountains changes considerably over the course of a snow...
