Intercomparison of machine learning models for retrieving snow depth over Pan-Arctic sea ice (2012-2021) from multi-source remote sensing data
Abstract
This dataset contains the daily and monthly pan-Arctic snow depths on sea ice product generated by the machine learning models described in the associated manuscript. The associated code repository includes the Python scripts for model training and validation.
Fields of Study & Subjects
Cryospheric studies and observations
Arctic and Antarctic ice dynamics
Climate change and permafrost
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset