Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-2999-2020
© Author(s) 2020. 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-14-2999-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Sep 2020
Research article |
| 15 Sep 2020
| 15 Sep 2020
Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays
Wolfgang Dierking
CORRESPONDING AUTHOR
Center for Integrated Remote Sensing and Forecasting for Arctic
Operations, UiT – The Arctic University of Norway, 9019 Tromsø, Norway
Alfred Wegener Institute Helmholtz Center for Polar and Marine
Research, 27570 Bremerhaven, Germany
Harry L. Stern
Polar Science Center, Applied Physics Laboratory, University of
Washington, 1013 NE 40th Street, Seattle, WA 98105, USA
Jennifer K. Hutchings
College of Earth, Ocean, and Atmospheric Sciences, Oregon State
University, 104 CEOAS Administration building, Corvallis, OR 97331, USA
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16 citations as recorded by crossref.
- Can environmental sustainability be decoupled from economic growth? Empirical evidence from Eastern Europe using the common correlated effect mean group test K. Addai et al. 10.1016/j.regsus.2023.03.003
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Tuning parameters of a sea ice model using machine learning A. Korosov et al. 10.5194/gmd-18-885-2025
- Linking sea ice deformation to ice thickness redistribution using high-resolution satellite and airborne observations L. von Albedyll et al. 10.5194/tc-15-2167-2021
- Human capital as an element of sustainable development in the NUTS 2 regions of Central and Eastern Europe B. Dańska-Borsiak 10.34659/eis.2025.93.2.1099
- Towards improving short-term sea ice predictability using deformation observations A. Korosov et al. 10.5194/tc-17-4223-2023
- A contrast in sea ice drift and deformation between winter and spring of 2019 in the Antarctic marginal ice zone A. Womack et al. 10.5194/tc-18-205-2024
- Atmospheric drivers of a winter-to-spring Lagrangian sea-ice drift in the Eastern Antarctic marginal ice zone A. Womack et al. 10.1017/jog.2022.14
- Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation D. Demchev et al. 10.1109/JSTARS.2023.3302576
- 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. 10.5194/essd-17-423-2025
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. 10.1029/2021JC017667
- A quasi-objective single-buoy approach for understanding Lagrangian coherent structures and sea ice dynamics N. Aksamit et al. 10.5194/tc-17-1545-2023
- A Volume‐Conserved Approach to Estimating Sea‐Ice Production in Antarctic Polynyas Y. Lin et al. 10.1029/2022GL101859
- Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al. 10.3389/frsen.2023.952091
- Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications F. Gibert et al. 10.3390/rs13142847
- Evaluation of Arctic Sea Ice Drift Products Based on FY-3, HY-2, AMSR2, and SSMIS Radiometer Data H. Fang et al. 10.3390/rs14205161
Latest update: 15 Oct 2025
Short summary
Monitoring deformation of sea ice is useful for studying effects of ice compression and divergent motion on the ice mass balance and ocean–ice–atmosphere interactions. In calculations of deformation parameters not only the measurement uncertainty of drift vectors has to be considered. The size of the area and the time interval used in the calculations have to be chosen within certain limits to make sure that the uncertainties of deformation parameters are smaller than their real magnitudes.
Monitoring deformation of sea ice is useful for studying effects of ice compression and...
