Articles | Volume 15, issue 5
https://doi.org/10.5194/tc-15-2167-2021
© 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-15-2167-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 May 2021
Research article |
| 04 May 2021
| 04 May 2021
Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations
Luisa von Albedyll
CORRESPONDING AUTHOR
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Christian Haas
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Institute of Environmental Physics, University of Bremen, 28359 Bremen, Germany
Wolfgang Dierking
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Center for Integrated Remote Sensing and Forecasting for Arctic Operations, UiT – The Arctic University of Norway, 9019 Tromsø, Norway
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17 citations as recorded by crossref.
- Causes and evolution of winter polynyas north of Greenland Y. Lee et al. 10.5194/tc-17-233-2023
- Fast Ice Thickness Distribution in the Western Ross Sea in Late Spring P. Langhorne et al. 10.1029/2022JC019459
- Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. 10.1007/s13131-023-2210-x
- MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. 10.5194/tc-15-3897-2021
- Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
- Insights into German polar research during POLARSTUNDE A. Zuhr et al. 10.5194/polf-91-73-2023
- Modelling the evolution of Arctic multiyear sea ice over 2000–2018 H. Regan et al. 10.5194/tc-17-1873-2023
- InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1 Z. Chen et al. 10.3390/rs13224570
- A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
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- A Volume‐Conserved Approach to Estimating Sea‐Ice Production in Antarctic Polynyas Y. Lin et al. 10.1029/2022GL101859
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- Overview of the MOSAiC expedition: Snow and sea ice M. Nicolaus et al. 10.1525/elementa.2021.000046
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- Estimation of sea ice drift and concentration during melt season using C-band dual-polarimetric Sentinel-1 data S. Bhattacharjee & R. Garg 10.1016/j.rsase.2023.101104
17 citations as recorded by crossref.
- Causes and evolution of winter polynyas north of Greenland Y. Lee et al. 10.5194/tc-17-233-2023
- Fast Ice Thickness Distribution in the Western Ross Sea in Late Spring P. Langhorne et al. 10.1029/2022JC019459
- Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. 10.1007/s13131-023-2210-x
- MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. 10.5194/tc-15-3897-2021
- Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
- Insights into German polar research during POLARSTUNDE A. Zuhr et al. 10.5194/polf-91-73-2023
- Modelling the evolution of Arctic multiyear sea ice over 2000–2018 H. Regan et al. 10.5194/tc-17-1873-2023
- InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1 Z. Chen et al. 10.3390/rs13224570
- A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- A Volume‐Conserved Approach to Estimating Sea‐Ice Production in Antarctic Polynyas Y. Lin et al. 10.1029/2022GL101859
- Thermodynamic and dynamic contributions to seasonal Arctic sea ice thickness distributions from airborne observations L. von Albedyll et al. 10.1525/elementa.2021.00074
- Overview of the MOSAiC expedition: Snow and sea ice M. Nicolaus et al. 10.1525/elementa.2021.000046
- Asymmetries in cloud microphysical properties ascribed to sea ice leads via water vapour transport in the central Arctic P. Saavedra Garfias et al. 10.5194/acp-23-14521-2023
- Temporal evolution of under-ice meltwater layers and false bottoms and their impact on summer Arctic sea ice mass balance E. Salganik et al. 10.1525/elementa.2022.00035
- Deformation lines in Arctic sea ice: intersection angle distribution and mechanical properties D. Ringeisen et al. 10.5194/tc-17-4047-2023
- Estimation of sea ice drift and concentration during melt season using C-band dual-polarimetric Sentinel-1 data S. Bhattacharjee & R. Garg 10.1016/j.rsase.2023.101104
Latest update: 18 Jan 2025
Short summary
Convergent sea ice motion produces a thick ice cover through ridging. We studied sea ice deformation derived from high-resolution satellite imagery and related it to the corresponding thickness change. We found that deformation explains the observed dynamic thickness change. We show that deformation can be used to model realistic ice thickness distributions. Our results revealed new relationships between thickness redistribution and deformation that could improve sea ice models.
Convergent sea ice motion produces a thick ice cover through ridging. We studied sea ice...
