Articles | Volume 15, issue 1
https://doi.org/10.5194/tc-15-345-2021
© 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-15-345-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jan 2021
Research article |
| 27 Jan 2021
| 27 Jan 2021
Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Centre for Earth Observation Science, University of Manitoba, Winnipeg, Canada
National Snow and Ice Data Center, University of Colorado, Boulder, CO, USA
Shiming Xu
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
University Corporation for Polar Research, Beijing, China
Alek Petty
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Rachel Tilling
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Mai Winstrup
DTU Space, Technical University of Denmark, Lyngby, Denmark
Danish Meteorological Institute (DMI), Copenhagen, Denmark
Philip Rostosky
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Isobel R. Lawrence
Centre for Polar Observation and Modelling, University of Leeds, Leeds, UK
Glen E. Liston
Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), Fort Collins, CO, USA
Andy Ridout
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Michel Tsamados
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Vishnu Nandan
Centre for Earth Observation Science, University of Manitoba, Winnipeg, Canada
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Cited
35 citations as recorded by crossref.
- Autonomous System for Lake Ice Monitoring I. Aslamov et al. https://doi.org/10.3390/s21248505
- Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations R. Mallett et al. https://doi.org/10.1017/jog.2022.18
- Summer snow on Arctic sea ice modulated by the Arctic Oscillation M. Webster et al. https://doi.org/10.1038/s41561-024-01525-y
- Global ocean indicators: Marking pathways at the science-policy nexus K. von Schuckmann et al. https://doi.org/10.1016/j.marpol.2025.106922
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. https://doi.org/10.1109/TGRS.2023.3290073
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. https://doi.org/10.5194/tc-17-127-2023
- The Challenges and Limitations of Validating Satellite-Derived Datasets Using Independent Measurements: Lessons Learned from Essential Climate Variables M. Langsdale et al. https://doi.org/10.1007/s10712-025-09898-4
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. https://doi.org/10.5194/tc-15-5483-2021
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea - Part II: sea ice and snow spaceborne retrieval L. Zhou et al. https://doi.org/10.1016/j.rse.2026.115360
- An Updated Assessment of the Changing Arctic Sea Ice Cover W. Meier & J. Stroeve https://doi.org/10.5670/oceanog.2022.114
- Inter-comparisons of Arctic snow depth products M. Li et al. https://doi.org/10.1080/17538947.2024.2376286
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. https://doi.org/10.34133/olar.0025
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. https://doi.org/10.1109/TGRS.2023.3322401
- Automated Calibration of a Snow‐On‐Sea‐Ice Model A. Cabaj et al. https://doi.org/10.1029/2022EA002655
- X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice K. Veijola et al. https://doi.org/10.3390/rs16020369
- Impacts of a layered snow density evolution scheme on Arctic snow and sea ice simulation in the CICE sea ice model H. Yin et al. https://doi.org/10.1016/j.ocemod.2025.102640
- Increases in Benthic Particulate Export and Sedimentary Denitrification in the Northern Chukchi Sea Tied to Under‐Ice Primary Production C. Payne & K. Arrigo https://doi.org/10.1029/2021JC018110
- Enhanced sea ice classification for ICESat-2 using combined unsupervised and supervised machine learning W. Liu et al. https://doi.org/10.1016/j.rse.2025.114607
- Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction A. Cabaj et al. https://doi.org/10.5194/tc-19-3033-2025
- AdaSA-SD (v1.0): An Adaptive Seasonal Algorithm for Snow Depth Retrieval Over Arctic Sea Ice Y. Zhou et al. https://doi.org/10.1109/TGRS.2025.3593433
- Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. https://doi.org/10.5194/essd-14-619-2022
- Quantifying the effects of background concentrations of crude oil pollution on sea ice albedo B. Redmond Roche & M. King https://doi.org/10.5194/tc-16-3949-2022
- Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery Y. Huang et al. https://doi.org/10.1016/j.rse.2024.114204
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. https://doi.org/10.5194/tc-16-259-2022
- Evaluating Arctic sea ice and snow thickness simulations: methodological insights from MOSAiC and CMIP6 data S. Trivedi et al. https://doi.org/10.3389/feart.2026.1744420
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. https://doi.org/10.1007/s10712-023-09781-0
- A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. https://doi.org/10.1016/j.rse.2021.112840
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. https://doi.org/10.5194/tc-18-5985-2024
- Modeling ringed seal Pusa hispida habitat and lair emergence timing in the eastern Bering and Chukchi Seas J. Lindsay et al. https://doi.org/10.3354/esr01140
- Changes in Under‐Ice Primary Production in the Chukchi Sea From 1988 to 2018 C. Payne et al. https://doi.org/10.1029/2021JC017483
- Sea ice cover in the Copernicus Arctic Regional Reanalysis Y. Batrak et al. https://doi.org/10.5194/tc-18-1157-2024
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. https://doi.org/10.1029/2021GL094541
- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. https://doi.org/10.1109/TGRS.2024.3358340
- Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness I. Glissenaar et al. https://doi.org/10.5194/tc-15-4909-2021
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
35 citations as recorded by crossref.
- Autonomous System for Lake Ice Monitoring I. Aslamov et al. https://doi.org/10.3390/s21248505
- Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations R. Mallett et al. https://doi.org/10.1017/jog.2022.18
- Summer snow on Arctic sea ice modulated by the Arctic Oscillation M. Webster et al. https://doi.org/10.1038/s41561-024-01525-y
- Global ocean indicators: Marking pathways at the science-policy nexus K. von Schuckmann et al. https://doi.org/10.1016/j.marpol.2025.106922
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. https://doi.org/10.1109/TGRS.2023.3290073
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. https://doi.org/10.5194/tc-17-127-2023
- The Challenges and Limitations of Validating Satellite-Derived Datasets Using Independent Measurements: Lessons Learned from Essential Climate Variables M. Langsdale et al. https://doi.org/10.1007/s10712-025-09898-4
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. https://doi.org/10.5194/tc-15-5483-2021
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea - Part II: sea ice and snow spaceborne retrieval L. Zhou et al. https://doi.org/10.1016/j.rse.2026.115360
- An Updated Assessment of the Changing Arctic Sea Ice Cover W. Meier & J. Stroeve https://doi.org/10.5670/oceanog.2022.114
- Inter-comparisons of Arctic snow depth products M. Li et al. https://doi.org/10.1080/17538947.2024.2376286
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. https://doi.org/10.34133/olar.0025
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. https://doi.org/10.1109/TGRS.2023.3322401
- Automated Calibration of a Snow‐On‐Sea‐Ice Model A. Cabaj et al. https://doi.org/10.1029/2022EA002655
- X- and Ku-Band SAR Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice K. Veijola et al. https://doi.org/10.3390/rs16020369
- Impacts of a layered snow density evolution scheme on Arctic snow and sea ice simulation in the CICE sea ice model H. Yin et al. https://doi.org/10.1016/j.ocemod.2025.102640
- Increases in Benthic Particulate Export and Sedimentary Denitrification in the Northern Chukchi Sea Tied to Under‐Ice Primary Production C. Payne & K. Arrigo https://doi.org/10.1029/2021JC018110
- Enhanced sea ice classification for ICESat-2 using combined unsupervised and supervised machine learning W. Liu et al. https://doi.org/10.1016/j.rse.2025.114607
- Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction A. Cabaj et al. https://doi.org/10.5194/tc-19-3033-2025
- AdaSA-SD (v1.0): An Adaptive Seasonal Algorithm for Snow Depth Retrieval Over Arctic Sea Ice Y. Zhou et al. https://doi.org/10.1109/TGRS.2025.3593433
- Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. https://doi.org/10.5194/essd-14-619-2022
- Quantifying the effects of background concentrations of crude oil pollution on sea ice albedo B. Redmond Roche & M. King https://doi.org/10.5194/tc-16-3949-2022
- Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery Y. Huang et al. https://doi.org/10.1016/j.rse.2024.114204
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. https://doi.org/10.5194/tc-16-259-2022
- Evaluating Arctic sea ice and snow thickness simulations: methodological insights from MOSAiC and CMIP6 data S. Trivedi et al. https://doi.org/10.3389/feart.2026.1744420
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. https://doi.org/10.1007/s10712-023-09781-0
- A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. https://doi.org/10.1016/j.rse.2021.112840
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. https://doi.org/10.5194/tc-18-5985-2024
- Modeling ringed seal Pusa hispida habitat and lair emergence timing in the eastern Bering and Chukchi Seas J. Lindsay et al. https://doi.org/10.3354/esr01140
- Changes in Under‐Ice Primary Production in the Chukchi Sea From 1988 to 2018 C. Payne et al. https://doi.org/10.1029/2021JC017483
- Sea ice cover in the Copernicus Arctic Regional Reanalysis Y. Batrak et al. https://doi.org/10.5194/tc-18-1157-2024
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. https://doi.org/10.1029/2021GL094541
- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. https://doi.org/10.1109/TGRS.2024.3358340
- Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness I. Glissenaar et al. https://doi.org/10.5194/tc-15-4909-2021
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
Saved (final revised paper)
Latest update: 10 Aug 2026
Short summary
Snow on sea ice plays an important role in the Arctic climate system. Large spatial and temporal discrepancies among the eight snow depth products are analyzed together with their seasonal variability and long-term trends. These snow products are further compared against various ground-truth observations. More analyses on representation error of sea ice parameters are needed for systematic comparison and fusion of airborne, in situ and remote sensing observations.
Snow on sea ice plays an important role in the Arctic climate system. Large spatial and temporal...
