Articles | Volume 20, issue 7
https://doi.org/10.5194/tc-20-4017-2026
https://doi.org/10.5194/tc-20-4017-2026
Research article
 | 
21 Jul 2026
Research article |  | 21 Jul 2026

Investigating the drivers of wintertime Southern Ocean sea-ice leads using random forest algorithms

Umesh Dubey, Sascha Willmes, and Günther Heinemann

Data sets

AntLeads: Monthly wintertime sea-ice lead maps for the Antarctic, April-September, 2003–2023 Umesh Dubey et al. https://doi.org/10.1594/PANGAEA.977634

Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4 M. Tschudi et al. https://doi.org/10.5067/INAWUWO7QH7B

Short summary
Cracks and openings in sea ice, called leads, play an important role in regulating heat exchange between ocean and atmosphere, affecting global climate patterns. This study used a machine learning model trained on wintertime data from 2003 to 2023 to identify the key drivers of leads across the Southern Ocean and sub-regions. The analysis shows that directional wind components, ocean currents and ice divergence are the primary drivers, though their importance differs across regions and seasons.
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