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Combined list of the recent articles of the journal The Cryosphere and the recent discussion forum The Cryosphere Discussions
Site URL: tc.copernicus.org/articles/
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Posts: 11
Followers: 10
A multisensor C-band synthetic aperture radar (SAR) approach to retrieve freeze/thaw cycles: a case study for a low Arctic environment
https://doi.org/10.5194/tc-20-3369-2026
Published: June 11, 2026 05:32
A multisensor C-band synthetic aperture radar (SAR) approach to retrieve freeze/thaw cycles: a case study for a low Arctic environment Charlotte Crevier, Alexandre Langlois, Chris Derksen, and Alexandre Roy The…
Assessing the impact of meteorological forcing and its uncertainty on snow modeling and reanalysis
https://doi.org/10.5194/tc-20-3345-2026
Published: June 10, 2026 07:39
Assessing the impact of meteorological forcing and its uncertainty on snow modeling and reanalysis Haorui Sun and Steven A. Margulis The Cryosphere, 20, 3345–3367, https://doi.org/10.5194/tc-20-3345-2026, 2026 …
The influence of ocean waves on Antarctic sea-ice albedo and seasonal melting, and potential coupled physical and biological feedbacks
https://doi.org/10.5194/tc-20-3271-2026
Published: June 9, 2026 00:15
The influence of ocean waves on Antarctic sea-ice albedo and seasonal melting, and potential coupled physical and biological feedbacks Robert A. Massom, Phillip A. Reid, Stephen G. Warren, Bonnie Light, Donald K. Perovich, Luke G.…
Learning to melt: Emulating Greenland surface melt from a polar RCM with machine learning
https://doi.org/10.5194/tc-20-3313-2026
Published: June 3, 2026 11:34
Learning to melt: Emulating Greenland surface melt from a polar RCM with machine learning Elke Schlager, Sebastian Scher, Ruth H. Mottram, and Peter L. Langen The Cryosphere, 20, 3313–3343,…
Sea ice data assimilation in ORAS6
https://doi.org/10.5194/tc-20-3299-2026
Published: June 3, 2026 09:57
Sea ice data assimilation in ORAS6 Philip Browne, Eric de Boisseson, Sarah Keeley, Charles Pelletier, and Hao Zuo The Cryosphere, 20, 3299–3311, https://doi.org/10.5194/tc-20-3299-2026, 2026 …
Seasonal glacier motion variations and underlying hydro-mechanical processes at Glacier d'Argentière, French Alps
https://doi.org/10.5194/tc-20-3257-2026
Published: June 2, 2026 05:55
Seasonal glacier motion variations and underlying hydro-mechanical processes at Glacier d'Argentière, French Alps Anuar Togaibekov, Adrien Gilbert, Florent Gimbert, and Andrea Walpersdorf The Cryosphere, 20,…
Inter-annual snow accumulation and meter-scale variability from trench measurements at Dome C, Antarctica
https://doi.org/10.5194/tc-20-3235-2026
Published: June 1, 2026 09:37
Inter-annual snow accumulation and meter-scale variability from trench measurements at Dome C, Antarctica Adrien Ooms, Mathieu Casado, Ghislain Picard, Laurent Arnaud, Maria Hörhold, Andrea Spolaor, Rita Traversi, Joel Savarino, Patrick…
Blowing snow contributions to the Arctic snow-on-sea ice budget using ICESat-2 observations
https://doi.org/10.5194/tc-20-3217-2026
Published: June 1, 2026 05:14
Blowing snow contributions to the Arctic snow-on-sea ice budget using ICESat-2 observations Joseph Robinson, Lyatt Jaeglé, Stephen P. Palm, and Glen E. Liston The Cryosphere, 20, 3217–3233,…
Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
https://doi.org/10.5194/tc-20-3187-2026
Published: May 29, 2026 13:36
Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations Lucas Boeykens, Devon Dunmire, Jonas-Frederik Jans, Willem Waegeman,…
Increasing precipitation due to climate change could partially offset the impact of warming on glacier loss in the monsoon-influenced Himalaya until 2100 CE
https://doi.org/10.5194/tc-20-3151-2026
Published: May 29, 2026 07:37
Increasing precipitation due to climate change could partially offset the impact of warming on glacier loss in the monsoon-influenced Himalaya until 2100 CE Anya M. Schlich-Davies, Ann V. Rowan, Andrew N. Ross, Duncan J. Quincey, and…
PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
https://doi.org/10.5194/tc-20-3131-2026
Published: May 29, 2026 06:30
PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling Raf Antwerpen, Marco Tedesco, Pierre Gentine, Willem Jan van de Berg, and Xavier Fettweis The Cryosphere, 20,…