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
Viewed
Total article views: 6,241 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,813 | 2,301 | 127 | 6,241 | 172 | 205 |
- HTML: 3,813
- PDF: 2,301
- XML: 127
- Total: 6,241
- BibTeX: 172
- EndNote: 205
Total article views: 4,042 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jan 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,895 | 1,054 | 93 | 4,042 | 145 | 184 |
- HTML: 2,895
- PDF: 1,054
- XML: 93
- Total: 4,042
- BibTeX: 145
- EndNote: 184
Total article views: 2,199 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 918 | 1,247 | 34 | 2,199 | 27 | 21 |
- HTML: 918
- PDF: 1,247
- XML: 34
- Total: 2,199
- BibTeX: 27
- EndNote: 21
Viewed (geographical distribution)
Total article views: 6,241 (including HTML, PDF, and XML)
Thereof 6,058 with geography defined
and 183 with unknown origin.
Total article views: 4,042 (including HTML, PDF, and XML)
Thereof 3,942 with geography defined
and 100 with unknown origin.
Total article views: 2,199 (including HTML, PDF, and XML)
Thereof 2,116 with geography defined
and 83 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 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. https://doi.org/10.5194/tc-18-4399-2024
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. https://doi.org/10.5194/tc-19-1241-2025
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä https://doi.org/10.3390/rs16091600
- Monitoring of temporal changes in sea ice extent in Horseshoe Island on the Antarctic Peninsula using sentinel-1 SAR remote sensing data F. Yilgan https://doi.org/10.1007/s10236-026-01771-1
- Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes S. Maniraj et al. https://doi.org/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. https://doi.org/10.1038/s43247-024-01692-1
- Inversion of Shear and Longitudinal Acoustic Wave Propagation Parameters in Sea Ice Using SE-ResNet J. Bai et al. https://doi.org/10.3390/s25185663
- Tropospheric BrO in Western Antarctica: Distribution, seasonality and link to sea ice state of development C. Prados-Roman et al. https://doi.org/10.1016/j.atmosenv.2025.121588
- Intercomparison of Ku- and C-Band Backscatter Feature Parameters for Arctic Sea Ice Using Spaceborne FengYun-3E WindRAD Scatterometer X. Zhai et al. https://doi.org/10.1109/TGRS.2025.3632199
- First Results of Antarctic Sea Ice Classification Using Spaceborne Dual-Frequency Scatterometer FY-3E WindRAD X. Zhai et al. https://doi.org/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. https://doi.org/10.5194/tc-17-4103-2023
- Tracking Large Tabular Icebergs in Antarctica Using AMSR2 Observations and Random Forest: A Case Study of A23A M. Cho et al. https://doi.org/10.7780/kjrs.2025.41.2.1.8
- Sea ice concentration inversion based on different Arctic sea ice types X. Wang et al. https://doi.org/10.3389/fmars.2024.1422187
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
- Sea ice variations in the Tatar Strait, Sea of Japan from 2003 to 2022 Q. Hou et al. https://doi.org/10.1016/j.coldregions.2025.104450
- Global ocean indicators: Marking pathways at the science-policy nexus K. von Schuckmann et al. https://doi.org/10.1016/j.marpol.2025.106922
- From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea S. Arndt et al. https://doi.org/10.5194/tc-18-2001-2024
17 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. https://doi.org/10.5194/tc-18-4399-2024
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. https://doi.org/10.5194/tc-19-1241-2025
- Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä https://doi.org/10.3390/rs16091600
- Monitoring of temporal changes in sea ice extent in Horseshoe Island on the Antarctic Peninsula using sentinel-1 SAR remote sensing data F. Yilgan https://doi.org/10.1007/s10236-026-01771-1
- Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes S. Maniraj et al. https://doi.org/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. https://doi.org/10.1038/s43247-024-01692-1
- Inversion of Shear and Longitudinal Acoustic Wave Propagation Parameters in Sea Ice Using SE-ResNet J. Bai et al. https://doi.org/10.3390/s25185663
- Tropospheric BrO in Western Antarctica: Distribution, seasonality and link to sea ice state of development C. Prados-Roman et al. https://doi.org/10.1016/j.atmosenv.2025.121588
- Intercomparison of Ku- and C-Band Backscatter Feature Parameters for Arctic Sea Ice Using Spaceborne FengYun-3E WindRAD Scatterometer X. Zhai et al. https://doi.org/10.1109/TGRS.2025.3632199
- First Results of Antarctic Sea Ice Classification Using Spaceborne Dual-Frequency Scatterometer FY-3E WindRAD X. Zhai et al. https://doi.org/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. https://doi.org/10.5194/tc-17-4103-2023
- Tracking Large Tabular Icebergs in Antarctica Using AMSR2 Observations and Random Forest: A Case Study of A23A M. Cho et al. https://doi.org/10.7780/kjrs.2025.41.2.1.8
- Sea ice concentration inversion based on different Arctic sea ice types X. Wang et al. https://doi.org/10.3389/fmars.2024.1422187
- Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
- Sea ice variations in the Tatar Strait, Sea of Japan from 2003 to 2022 Q. Hou et al. https://doi.org/10.1016/j.coldregions.2025.104450
- Global ocean indicators: Marking pathways at the science-policy nexus K. von Schuckmann et al. https://doi.org/10.1016/j.marpol.2025.106922
- From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea S. Arndt et al. https://doi.org/10.5194/tc-18-2001-2024
Saved (final revised paper)
Latest update: 07 Jun 2026
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...
