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...

Full description

Bibliographic Details
Main Authors: Glissenaar, Isolde A., Landy, Jack C., Babb, David G., Dawson, Geoffrey J., Howell, Stephen E.L.
Format: Article in Journal/Newspaper
Language:English
Published: 2023
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