Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1259-2024
© Author(s) 2024. 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-18-1259-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2024
Research article |
| 19 Mar 2024
| 19 Mar 2024
Lead fractions from SAR-derived sea ice divergence during MOSAiC
Luisa von Albedyll
CORRESPONDING AUTHOR
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Stefan Hendricks
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Nils Hutter
Cooperative Institute for Climate, Ocean, and Ecosystem Studies (CICOES), University of Washington, Seattle, WA, United States
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Dmitrii Murashkin
Remote Sensing Technology Institute, German Aerospace Center (DLR), Bremen, Germany
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Lars Kaleschke
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Sascha Willmes
Department of Environmental Meteorology, Trier University, Trier, Germany
Linda Thielke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Xiangshan Tian-Kunze
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Gunnar Spreen
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Christian Haas
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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Cited
13 citations as recorded by crossref.
- Cloud-Tolerant Multiwidth Arctic Sea-Ice Lead Detection Using FY-3D MERSI-II 250-m TIR Data L. Zhang et al. https://doi.org/10.1109/TGRS.2025.3631915
- Characteristics and effects of aerosols during blowing snow events in the central Arctic N. Bergner et al. https://doi.org/10.1525/elementa.2024.00047
- Annual cycle of surface-coupling effects on Arctic mixed-phase clouds during MOSAiC H. Griesche et al. https://doi.org/10.5194/acp-26-7141-2026
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. https://doi.org/10.1109/TGRS.2024.3444045
- Overview of the MOSAiC expedition: Ecosystem A. Fong et al. https://doi.org/10.1525/elementa.2023.00135
- Modeling the contribution of leads to sea spray aerosol in the high Arctic R. Lapere et al. https://doi.org/10.5194/acp-24-12107-2024
- The role of cross-polarization in producing high-resolution pan-Arctic sea ice motion from the RADARSAT Constellation Mission over several years A. Komarov et al. https://doi.org/10.1016/j.rse.2025.115175
- Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 T. Rackow et al. https://doi.org/10.5194/gmd-18-33-2025
- Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties B. Heutte et al. https://doi.org/10.5194/acp-25-2207-2025
- Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification W. Chen et al. https://doi.org/10.3389/frsen.2024.1401653
- First arctic-wide assessment of SWOT swath altimetry with ICESat-2 over sea ice F. Müller et al. https://doi.org/10.5194/tc-20-397-2026
- The biogenic sulfur cycle in the coupled ocean–sea ice–atmosphere system S. Ishino et al. https://doi.org/10.1525/elementa.2025.00067
- A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) M. Plante et al. https://doi.org/10.5194/essd-17-423-2025
13 citations as recorded by crossref.
- Cloud-Tolerant Multiwidth Arctic Sea-Ice Lead Detection Using FY-3D MERSI-II 250-m TIR Data L. Zhang et al. https://doi.org/10.1109/TGRS.2025.3631915
- Characteristics and effects of aerosols during blowing snow events in the central Arctic N. Bergner et al. https://doi.org/10.1525/elementa.2024.00047
- Annual cycle of surface-coupling effects on Arctic mixed-phase clouds during MOSAiC H. Griesche et al. https://doi.org/10.5194/acp-26-7141-2026
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. https://doi.org/10.1109/TGRS.2024.3444045
- Overview of the MOSAiC expedition: Ecosystem A. Fong et al. https://doi.org/10.1525/elementa.2023.00135
- Modeling the contribution of leads to sea spray aerosol in the high Arctic R. Lapere et al. https://doi.org/10.5194/acp-24-12107-2024
- The role of cross-polarization in producing high-resolution pan-Arctic sea ice motion from the RADARSAT Constellation Mission over several years A. Komarov et al. https://doi.org/10.1016/j.rse.2025.115175
- Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 T. Rackow et al. https://doi.org/10.5194/gmd-18-33-2025
- Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties B. Heutte et al. https://doi.org/10.5194/acp-25-2207-2025
- Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification W. Chen et al. https://doi.org/10.3389/frsen.2024.1401653
- First arctic-wide assessment of SWOT swath altimetry with ICESat-2 over sea ice F. Müller et al. https://doi.org/10.5194/tc-20-397-2026
- The biogenic sulfur cycle in the coupled ocean–sea ice–atmosphere system S. Ishino et al. https://doi.org/10.1525/elementa.2025.00067
- A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) M. Plante et al. https://doi.org/10.5194/essd-17-423-2025
Saved (final revised paper)
Latest update: 03 Aug 2026
Short summary
Leads (openings in sea ice cover) are created by sea ice dynamics. Because they are important for many processes in the Arctic winter climate, we aim to detect them with satellites. We present two new techniques to detect lead widths of a few hundred meters at high spatial resolution (700 m) and independent of clouds or sun illumination. We use the MOSAiC drift 2019–2020 in the Arctic for our case study and compare our new products to other existing lead products.
Leads (openings in sea ice cover) are created by sea ice dynamics. Because they are important...
