A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020
<p>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-Arc...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-08-01
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Series: | The Cryosphere |
Online Access: | https://tc.copernicus.org/articles/17/3269/2023/tc-17-3269-2023.pdf |