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...

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Bibliographic Details
Main Authors: I. A. Glissenaar, J. C. Landy, D. G. Babb, G. J. Dawson, S. E. L. Howell
Format: Article
Language:English
Published: Copernicus Publications 2023-08-01
Series:The Cryosphere
Online Access:https://tc.copernicus.org/articles/17/3269/2023/tc-17-3269-2023.pdf