Articles | Volume 16, issue 5
https://doi.org/10.5194/tc-16-1807-2022
© Author(s) 2022. 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-16-1807-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 May 2022
Research article |
| 11 May 2022
| 11 May 2022
An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations
Sutao Liao
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Jinfei Wang
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Jinlun Zhang
Polar Science Center, Applied Physics Lab, University of Washington, Seattle, WA 98105, USA
Qinghua Yang
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
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Cited
15 citations as recorded by crossref.
- Seasonal variability of SST fronts in the southern ocean south of 60°S: the relationship with sea ice L. Zhao et al. https://doi.org/10.1088/2515-7620/adeb4d
- China’s Recent Progresses in Polar Climate Change and Its Interactions with the Global Climate System X. Li et al. https://doi.org/10.1007/s00376-023-2323-3
- Exploring sea ice transport dynamics at the eastern gate of the Ross Sea N. Krauzig et al. https://doi.org/10.1016/j.dsr2.2024.105428
- Evaluation of MITgcm-based ocean reanalyses for the Southern Ocean Y. Nakayama et al. https://doi.org/10.5194/gmd-17-8613-2024
- Synergistic atmosphere-ocean-ice influences have driven the 2023 all-time Antarctic sea-ice record low J. Wang et al. https://doi.org/10.1038/s43247-024-01523-3
- Arctic Sea Ice Concentration Prediction Using Spatial Attention Deep Learning H. Gu et al. https://doi.org/10.1109/JSTARS.2024.3486187
- Intercomparison of Antarctic Sea-Ice Thickness Estimates from Satellite Altimetry and Assessment over the 2019 Data-Rich Year M. Mangatane & M. Vichi https://doi.org/10.3390/rs17071180
- Evaluation of Antarctic sea ice thickness and volume during 2003–2014 in CMIP6 using Envisat and CryoSat-2 observations Y. Hou et al. https://doi.org/10.1088/1748-9326/ad1725
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. https://doi.org/10.1016/j.ocemod.2023.102227
- Anatomy of Arctic and Antarctic sea ice lows in an ocean–sea ice model B. Richaud et al. https://doi.org/10.5194/tc-20-791-2026
- Drivers of observed winter–spring sea-ice and snow thickness at a coastal site in East Antarctica D. Francis et al. https://doi.org/10.5194/tc-20-1-2026
- Heat stored in the Earth system 1960–2020: where does the energy go? K. von Schuckmann et al. https://doi.org/10.5194/essd-15-1675-2023
- An assessment of Antarctic sea-ice thickness in CMIP6 simulations with comparison to the satellite-based observations and reanalyses S. Trivedi et al. https://doi.org/10.5194/tc-19-6771-2025
- Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data via deep learning Z. Ma et al. https://doi.org/10.1038/s41597-025-06390-x
- Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y. Nie et al. https://doi.org/10.5194/gmd-16-1395-2023
15 citations as recorded by crossref.
- Seasonal variability of SST fronts in the southern ocean south of 60°S: the relationship with sea ice L. Zhao et al. https://doi.org/10.1088/2515-7620/adeb4d
- China’s Recent Progresses in Polar Climate Change and Its Interactions with the Global Climate System X. Li et al. https://doi.org/10.1007/s00376-023-2323-3
- Exploring sea ice transport dynamics at the eastern gate of the Ross Sea N. Krauzig et al. https://doi.org/10.1016/j.dsr2.2024.105428
- Evaluation of MITgcm-based ocean reanalyses for the Southern Ocean Y. Nakayama et al. https://doi.org/10.5194/gmd-17-8613-2024
- Synergistic atmosphere-ocean-ice influences have driven the 2023 all-time Antarctic sea-ice record low J. Wang et al. https://doi.org/10.1038/s43247-024-01523-3
- Arctic Sea Ice Concentration Prediction Using Spatial Attention Deep Learning H. Gu et al. https://doi.org/10.1109/JSTARS.2024.3486187
- Intercomparison of Antarctic Sea-Ice Thickness Estimates from Satellite Altimetry and Assessment over the 2019 Data-Rich Year M. Mangatane & M. Vichi https://doi.org/10.3390/rs17071180
- Evaluation of Antarctic sea ice thickness and volume during 2003–2014 in CMIP6 using Envisat and CryoSat-2 observations Y. Hou et al. https://doi.org/10.1088/1748-9326/ad1725
- Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model J. Sterlin et al. https://doi.org/10.1016/j.ocemod.2023.102227
- Anatomy of Arctic and Antarctic sea ice lows in an ocean–sea ice model B. Richaud et al. https://doi.org/10.5194/tc-20-791-2026
- Drivers of observed winter–spring sea-ice and snow thickness at a coastal site in East Antarctica D. Francis et al. https://doi.org/10.5194/tc-20-1-2026
- Heat stored in the Earth system 1960–2020: where does the energy go? K. von Schuckmann et al. https://doi.org/10.5194/essd-15-1675-2023
- An assessment of Antarctic sea-ice thickness in CMIP6 simulations with comparison to the satellite-based observations and reanalyses S. Trivedi et al. https://doi.org/10.5194/tc-19-6771-2025
- Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data via deep learning Z. Ma et al. https://doi.org/10.1038/s41597-025-06390-x
- Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y. Nie et al. https://doi.org/10.5194/gmd-16-1395-2023
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
The Global Ice-Ocean Modeling and Assimilation System (GIOMAS) can basically reproduce the observed variability in Antarctic sea-ice volume and its changes in the trend before and after 2013, and it underestimates Antarctic sea-ice thickness (SIT) especially in deformed ice zones. Assimilating additional sea-ice observations with advanced assimilation methods may result in a more accurate estimation of Antarctic SIT.
The Global Ice-Ocean Modeling and Assimilation System (GIOMAS) can basically reproduce the...
