SICNetseason Predicts Arctic Ice
This is a news story, published by Phys Org, that relates primarily to SICNetseason news.
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seasonal Arctic sea ice predictionPhys Org
•Science
Science
Scientists develop AI model to enhance seasonal Arctic sea ice prediction

94% Informative
The SICNetseason model integrates the nonlinear global and local dependencies among sea ice series by Swin-Transformer blocks.
This approach allows it to model the long-term relationships between spring sea ice conditions and those in September .
Spring sea ice thickness is identified as a critical factor, contributing more than 20% to overcoming this barrier.
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