The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 5
Articles | Volume 20, issue 5
https://doi.org/10.5194/tc-20-2825-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-2825-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 5
Research article
 | 
20 May 2026
Research article |  | 20 May 2026

Snow depth distributions on sea ice of different ages and thicknesses from regional field campaigns

Lanqing Huang, Julienne Stroeve, Thomas Newman, Robbie Mallett, Rosemary Willatt, Lu Zhou, Malin Johansson, Carmen Nab, and Alicia Fallows

Supplement

https://doi.org/10.5194/tc-20-2825-2026-supplement

Data sets

Magnaprobe snow and melt pond depth measurements from the 2019-2020 MOSAiC expedition P. Itkin et al. https://doi.org/10.1594/PANGAEA.937781

N-ICE2015 snow depth data with Magnaprobe A. Rösel et al. https://doi.org/10.21334/NPOLAR.2016.3D72756D

N-ICE2015 total (snow and ice) thickness data from EM31 A. Rösel et al. https://doi.org/10.21334/NPOLAR.2016.70352512

Snow and ice thickness measurements from Terrestrial Laser Scanning, Magnaprobe and GEM-2 on ice stations PS81/503, PS81/506 and PS81/517 from Weddell Sea, Antarctica, 2013 N. Wever et al. https://doi.org/10.1594/PANGAEA.933584

Model code and software

LanqingHuang/SnowDepthCode-TC: SnowDepthCode-TC (v1.0) L. Huang https://doi.org/10.5281/zenodo.20131539

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Short summary
Understanding snow depth on sea ice is key for measuring ice thickness, studying ecosystems, and modelling climate. Using snow and ice thickness measurements from Arctic and Antarctic campaigns, this study examines sub-kilometre-scale (<1  km²) snow depth variations and identifies the most suitable statistical models for different ice ages, thicknesses, and weather conditions. These results can improve sub-grid snow parameterisations in snow models and remote sensing algorithms.
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