Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-809-2023
https://doi.org/10.5194/tc-17-809-2023
Research article
 | 
17 Feb 2023
Research article |  | 17 Feb 2023

Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery

Felix L. Müller, Stephan Paul, Stefan Hendricks, and Denise Dettmering

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Cited articles

Adams, S., Willmes, S., Schröder, D., Heinemann, G., Bauer, M., and Krumpen, T.: Improvement and sensitivity analysis of thermal thin-ice thickness retrievals, IEEE T. Geosci. Remote, 51, 3306–3318, 2012. a
Aldenhoff, W., Heuzé, C., and Eriksson, L. E. B.: Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar, Remote Sens.-Basel, 11, 2602, https://doi.org/10.3390/rs11222602, 2019. a
Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380, https://doi.org/10.5194/tc-4-373-2010, 2010. a
Bouzinac, C.: CryoSat-2 Product Handbook Baseline D 1.1 C2-LI-ACS-ESL-5319, European Space Agency, https://earth.esa.int/eogateway/documents/20142/37627/CryoSat-Baseline-D-Product-Handbook.pdf (last access: October 2021), 2019. a
Celebi, M.: Partitional Clustering Algorithms, EBL-Schweitzer, Springer International Publishing, ISBN 978-3-319-09259-1, https://doi.org/10.1007/978-3-319-09259-1, 2014. a
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Short summary
Thinning sea ice has significant impacts on the energy exchange between the atmosphere and the ocean. In this study we present visual and quantitative comparisons of thin-ice detections obtained from classified Cryosat-2 radar reflections and thin-ice-thickness estimates derived from MODIS thermal-infrared imagery. In addition to good comparability, the results of the study indicate the potential for a deeper understanding of sea ice in the polar seas and improved processing of altimeter data.