A 10-year record of Arctic summer sea ice freeboard from CryoSat-2

• Published in: Remote Sensing of Environment
• Main Authors: Dawson, Geoffrey J, Landy, Jack C, Tsamados, Michel, Komarov, Alexander S, Howell, Stephen, Heorton, Harry, Krumpen, Thomas
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: Sea ice; CryoSat-2; Radar altimetry; Radar freeboard; Arctic
• Online Access: https://hdl.handle.net/1983/5ec22acc-53f9-4b74-8a99-b215f53e6719; https://research-information.bris.ac.uk/en/publications/5ec22acc-53f9-4b74-8a99-b215f53e6719; https://doi.org/10.1016/j.rse.2021.112744; https://research-information.bris.ac.uk/ws/files/307713911/MANUSCRIPT_REVISED.pdf

Satellite observations of pan-Arctic sea ice thickness have so far been constrained to winter months. For radar altimeters, conventional methods cannot differentiate leads from meltwater ponds that accumulate at the ice surface in summer months, which is a critical step in the ice thickness calculation. Here, we use over 350 optical and synthetic aperture radar (SAR) images from the summer months to train a 1D convolution neural network for separating CryoSat-2 radar altimeter returns from sea ice floes and leads with an accuracy >80%. This enables us to generate the first pan-Arctic measurements of sea ice radar freeboard for May–September between 2011 and 2020. Results indicate that the freeboard distributions in May and September compare closely to those from a conventional ‘winter’ processor in April and October, respectively. The freeboards capture expected patterns of sea ice melt over the Arctic summer, matching well to ice draft observations from the Beaufort Gyre Exploration Program (BGEP) moorings. However, compared to airborne laser scanner freeboards from Operation IceBridge and airborne EM ice thickness surveys from the Alfred Wegener Institute (AWI) IceBird program, CryoSat-2 freeboards are underestimated by 0.02–0.2 m, and ice thickness is underestimated by 0.28–1.0 m, with the largest differences being over thicker multi-year sea ice. To create the first pan-Arctic summer sea ice thickness dataset we must address primary sources of uncertainty in the conversion from radar freeboard to ice thickness.