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Bo-Ram Kim

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Open access Jul 2026

Deep Learning Benchmarks for short-term Arctic Sea Ice Forecasting

This study benchmarks CNN backbone and Transformer backbone families for 10-day sea ice forecasting and indicates that CNN-based models, including PoolFormer, generally show more favorable performance in boundary preservation and prediction stability than Transformer-based models.

Bo-Ram Kim, Junhwa Chi · 0 citations

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