A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020
This study presents a long-term winter sea ice thickness proxy product for the Canadian Arctic based on a random forest regression model – applied to ice charts and scatterometer data, trained on CryoSat-2 observations, and applying an ice type–sea ice thickness correction using the Pan-Arctic Ice O...
Main Authors: | , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/1983/295dab40-756e-416e-8053-ad5209a106cc https://research-information.bris.ac.uk/en/publications/295dab40-756e-416e-8053-ad5209a106cc https://doi.org/10.5194/tc-17-3269-2023 https://doi.org/10.5194/egusphere-2023-269 |