Articles | Volume 17, issue 1
https://doi.org/10.5194/tc-17-105-2023
© Author(s) 2023. 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-17-105-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jan 2023
Research article |
| 12 Jan 2023
| 12 Jan 2023
First results of Antarctic sea ice type retrieval from active and passive microwave remote sensing data
Christian Melsheimer
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Gunnar Spreen
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Yufang Ye
School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China
Mohammed Shokr
Environment and Climate Change Canada, Toronto, Canada
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Cited
15 citations as recorded by crossref.
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. 10.5194/tc-19-1241-2025
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
- Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes S. Maniraj et al. 10.1007/s41976-024-00147-7
- Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds Z. Wang et al. 10.1038/s43247-024-01692-1
- First Results of Antarctic Sea Ice Classification Using Spaceborne Dual-Frequency Scatterometer FY-3E WindRAD X. Zhai et al. 10.1109/LGRS.2023.3339720
- New estimates of pan-Arctic sea ice–atmosphere neutral drag coefficients from ICESat-2 elevation data A. Mchedlishvili et al. 10.5194/tc-17-4103-2023
- Sea ice concentration inversion based on different Arctic sea ice types X. Wang et al. 10.3389/fmars.2024.1422187
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. 10.1029/2022RG000770
- Sea ice variations in the Tatar Strait, Sea of Japan from 2003 to 2022 Q. Hou et al. 10.1016/j.coldregions.2025.104450
- From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea S. Arndt et al. 10.5194/tc-18-2001-2024
- Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery X. Chen et al. 10.1109/TGRS.2022.3233871
- Altimetric observation of wave attenuation through the Antarctic marginal ice zone using ICESat-2 J. Brouwer et al. 10.5194/tc-16-2325-2022
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Satellite Microwave Radiometric Measurements of Extreme Temperature Rise in East Antarctica in March 2022 L. Mitnik et al. 10.1134/S0010952523700612
11 citations as recorded by crossref.
- Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. 10.5194/tc-19-1241-2025
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
- Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes S. Maniraj et al. 10.1007/s41976-024-00147-7
- Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds Z. Wang et al. 10.1038/s43247-024-01692-1
- First Results of Antarctic Sea Ice Classification Using Spaceborne Dual-Frequency Scatterometer FY-3E WindRAD X. Zhai et al. 10.1109/LGRS.2023.3339720
- New estimates of pan-Arctic sea ice–atmosphere neutral drag coefficients from ICESat-2 elevation data A. Mchedlishvili et al. 10.5194/tc-17-4103-2023
- Sea ice concentration inversion based on different Arctic sea ice types X. Wang et al. 10.3389/fmars.2024.1422187
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. 10.1029/2022RG000770
- Sea ice variations in the Tatar Strait, Sea of Japan from 2003 to 2022 Q. Hou et al. 10.1016/j.coldregions.2025.104450
- From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea S. Arndt et al. 10.5194/tc-18-2001-2024
4 citations as recorded by crossref.
- Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery X. Chen et al. 10.1109/TGRS.2022.3233871
- Altimetric observation of wave attenuation through the Antarctic marginal ice zone using ICESat-2 J. Brouwer et al. 10.5194/tc-16-2325-2022
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Satellite Microwave Radiometric Measurements of Extreme Temperature Rise in East Antarctica in March 2022 L. Mitnik et al. 10.1134/S0010952523700612
Latest update: 11 May 2025
Short summary
It is necessary to know the type of Antarctic sea ice present – first-year ice (grown in one season) or multiyear ice (survived one summer melt) – to understand and model its evolution, as the ice types behave and react differently. We have adapted and extended an existing method (originally for the Arctic), and now, for the first time, daily maps of Antarctic sea ice types can be derived from microwave satellite data. This will allow a new data set from 2002 well into the future to be built.
It is necessary to know the type of Antarctic sea ice present – first-year ice (grown in one...
