The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 3
Articles | Volume 19, issue 3
https://doi.org/10.5194/tc-19-1135-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-1135-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 3
Research article
 | 
11 Mar 2025
Research article |  | 11 Mar 2025

Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data

Polona Itkin

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Review article: Arctic polynyas in a changing climate
Céline Heuzé, Polona Itkin, Vladimir Ivanov, G. W. Kent Moore, Kazuki Nakata, Kay I. Ohshima, and Janna Rückert
EGUsphere, https://doi.org/10.5194/egusphere-2026-3855,https://doi.org/10.5194/egusphere-2026-3855, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
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Drivers of net community production in the bottom of Arctic pack ice
Rosalie McKay, Zoe Koenig, Polona Itkin, Rolf Gradinger, Christien Laber, Janina Osanen, Sanna Saur Heiland, and Karley Campbell
EGUsphere, https://doi.org/10.5194/egusphere-2026-4031,https://doi.org/10.5194/egusphere-2026-4031, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
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Empirical evidence of overestimated Ku-band sea ice radar freeboards in satellite altimetry
Catherine Taelman, Jack Landy, Robbie Mallett, and Polona Itkin
EGUsphere, https://doi.org/10.5194/egusphere-2026-1662,https://doi.org/10.5194/egusphere-2026-1662, 2026
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Year-round assessment of sea ice pressure ridges by multi-frequency electromagnetic induction sounding
Polona Itkin, Evgenii Salganik, Dmitry V. Divine, Arttu Jutila, Christian Katlein, Mara Neudert, Ian A. Raphael, and Robert Ricker
EGUsphere, https://doi.org/10.5194/egusphere-2025-6081,https://doi.org/10.5194/egusphere-2025-6081, 2025
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Combining observational data and numerical models to obtain a seamless high-temporal-resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory
Polona Itkin and Glen E. Liston
The Cryosphere, 19, 5111–5133, https://doi.org/10.5194/tc-19-5111-2025,https://doi.org/10.5194/tc-19-5111-2025, 2025
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Cited articles

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, b, c, d, e
Bushuk, M., Msadek, R., Winton, M., Vecchi, G. A., Gudgel, R., Rosati, A., and Yang, X.: Skillful regional prediction of Arctic sea ice on seasonal timescales, Geophys. Res. Lett., 44, 4953–4964, https://doi.org/10.1002/2017GL073155, 2017. a
Clemens-Sewall, D., Polashenski, C., Raphael, I., Perovich, D., and Fons, S.: High-Resolution Repeat Topography of Drifting Ice Floes in the Arctic Ocean from Terrestrial Laser Scanning Collected on the Multidisciplinary drifting Observatory for the Study of Arctic Climate Expedition, Arctic Data Center [data set], https://doi.org/10.18739/A26688K9D, 2022. a
CloudFerro: Sentinel-1 L1 GRD, https://creodias.eu/, last access: 1 May 2023. a
Coon, M., Kwok, R., Levy, G., Pruis, M., Schreyer, H., and Sulsky, D.: Arctic Ice Dynamics Joint Experiment (AIDJEX) assumptions revisited and found inadequate, J. Geophys. Res.-Oceans, 112, C11S90, https://doi.org/10.1029/2005JC003393, 2007. a, b
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Radar satellite images of sea ice were analyzed to understand how sea ice moves and deforms. These data are noisy, especially when looking at small details. A method was developed to filter out the noise. The filtered data were used to monitor how ice plates stretch and compress over time, revealing slow healing of ice fractures. Cohesive clusters of ice plates that move together were studied too. These methods provide climate-relevant insights into the dynamic nature of winter sea ice cover.
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