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...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: Glissenaar, Isolde A., Landy, Jack C., Babb, David G., Dawson, Geoffrey J., Howell, Stephen E. L.
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/tc-17-3269-2023
https://tc.copernicus.org/articles/17/3269/2023/