The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 2
Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-1199-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1199-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 2
Research article
 | 
16 Feb 2026
Research article |  | 16 Feb 2026

Empirical classification of dry-wet snow status in Antarctica using multi-frequency passive microwave observations

Marion Leduc-Leballeur, Ghislain Picard, Pierre Zeiger, and Giovanni Macelloni

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Short summary
This study presents a quantitative and synthetic classification of the snowpack in 10 dry-wet status by aggregating separate binary indicators derived from satellite observations. The classification follows the expected evolution of the melt season: night refreezing is frequent at the onset, sustained melting is observed during the summer peak, and remnant liquid water at depth occurs at the end. This dataset improves the knowledge of melt processes using passive microwave remote sensing.
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