The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6493-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-6493-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Research article
 | 
03 Dec 2025
Research article |  | 03 Dec 2025

Scale invariance in kilometer-scale sea ice deformation

Matias Uusinoka, Jari Haapala, Jan Åström, Mikko Lensu, and Arttu Polojärvi

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Åström, J., Robertsen, F., Haapala, J., Polojärvi, A., Uiboupin, R., and Maljutenko, I.: A large-scale high-resolution numerical model for sea-ice fragmentation dynamics, The Cryosphere, 18, 2429–2442, https://doi.org/10.5194/tc-18-2429-2024, 2024. a, b
Blockley, F. E. A.: The future of sea ice modelling. Toward defining a cutting-edge future for sea ice modelling, Bulletin of American Meterological Society, 101, E1304, https://doi.org/10.1175/BAMS-D-20-0073.1, 2020. a
Bouchat, A. and Tremblay, B.: Reassessing the quality of sea-ice deformation estimates derived from the RADARSAT Geophysical Processor System and its impact on the spatiotemporal scaling statistics, Journal of Geophysical Research: Oceans, 125, e2019JC015944, https://doi.org/10.1029/2019JC015944, 2020. a, b
Bouchat, A., Hutter, N., Chanut, J., Dupont, F., Dukhovskoy, D., Garric, G., Lee, Y. J., Lemieux, J.-F., Lique, C., Losch, M., Maslowski, W., Myers, P. G., Ólason, E., Rampal, P., Rasmussen, T., Talandier, C., Tremblay, B., and Wang, Q.: Sea Ice Rheology Experiment (SIREx): 1. Scaling and statistical properties of sea-ice deformation fields, Journal of Geophysical Research: Oceans, 127, e2021JC017667, https://doi.org/10.1029/2021JC017667, 2022. a, b
Bouillon, S. and Rampal, P.: On producing sea ice deformation data sets from SAR-derived sea ice motion, The Cryosphere, 9, 663–673, https://doi.org/10.5194/tc-9-663-2015, 2015. a
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We tracked sea ice deformation over a nine-month period using high-resolution ship radar data and a state-of-the-art deep learning technique. We observe that the typically consistent scale-invariant pattern in sea ice deformation has a possible lower limit of about 102 meters in winter, but this behavior disappears during summer. Our findings provide important insights for considering current modeling assumptions and for connecting the scales of interest in sea ice dynamics.
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