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2. Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model
3. Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model
4. Subseasonal forecast of Arctic sea ice concentration via statistical approaches
5. SIPN South: six years of coordinated seasonal Antarctic sea ice predictions
6. Satellite-based midlatitude cyclone statistics over the Southern Ocean: 2. Tracks and surface fluxes
7. Satellite-based midlatitude cyclone statistics over the Southern Ocean: 1. Scatterometer-derived pressure fields and storm tracking
8. Robust features of Atlantic multi-decadal variability and its climate impacts
9. Recent Increases in Exposure to Extreme Humid-Heat Events Disproportionately Affect Populated Regions
10. Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model
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