Inter‐Comparison of Snow Depth Over Antarctic Sea Ice From Ocean Reanalyzes and Observations

Abstract Snow depth on Antarctic sea ice is a critical climate variable affecting energy and mass balance, yet its observation and modeling remain challenging. We present a systematic intercomparison of snow depth from six ocean reanalysis products, two satellite retrievals, and ship‐based and airborne observational constraints. Results indicate that reanalysis and satellite products show consistent large‐scale climatological snow depth patterns, with the highest depths in the Weddell Sea. However, substantial differences remain in magnitude, seasonal phasing, spatial variability, and trends. The multi‐model mean agrees with satellite‐derived products in some integrated metrics, but tends to smooth regional features and may reflect compensation among reanalysis members. The sensitivity of simulated snow depth to atmospheric forcing and simplified snow processes highlights current limitations in representing wind redistribution and snow‐to‐ice conversion. Improved observations and model physics are needed to better constrain Antarctic sea‐ice snow depth.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-10-14
DOI
https://doi.org/10.1029/2026jd046705
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Inter‐Comparison of Snow Depth Over Antarctic Sea Ice From Ocean Reanalyzes and Observations

Yafei Nie, Petteri Juha Uotila, Bin Cheng, Hao Luo et al.
Journal of Geophysical Research Atmospheres
Arctic and Antarctic ice dynamics
article

Inter‐Comparison of Snow Depth Over Antarctic Sea Ice From Ocean Reanalyzes and Observations

Yafei Nie, Petteri Juha Uotila, Bin Cheng, Hao Luo, Qinghua Yang, Rui Xu, Haofei Wang
article en

Abstract

Abstract Snow depth on Antarctic sea ice is a critical climate variable affecting energy and mass balance, yet its observation and modeling remain challenging. We present a systematic intercomparison of snow depth from six ocean reanalysis products, two satellite retrievals, and ship‐based and airborne observational constraints. Results indicate that reanalysis and satellite products show consistent large‐scale climatological snow depth patterns, with the highest depths in the Weddell Sea. However, substantial differences remain in magnitude, seasonal phasing, spatial variability, and trends. The multi‐model mean agrees with satellite‐derived products in some integrated metrics, but tends to smooth regional features and may reflect compensation among reanalysis members. The sensitivity of simulated snow depth to atmospheric forcing and simplified snow processes highlights current limitations in representing wind redistribution and snow‐to‐ice conversion. Improved observations and model physics are needed to better constrain Antarctic sea‐ice snow depth.

Journal of Geophysical Research AtmospheresVol. 131(20)
Finnish Meteorological Institute (FI), Sun Yat-sen University (CN), Helsinki Institute of Physics (FI), Helsinki Institute for Information Technology (FI), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
National Natural Science Foundation of China, Academy of Finland, Norges Forskningsråd, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Climate action
Openalex Percentile: Top 20%
Arctic and Antarctic ice dynamics
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