most citedAn ensemble of data-driven weather prediction models for operational sub-seasonal forecasting

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cs.LG2026

Advancing Subseasonal Forecasting with Machine Learning

Hannah Guan, Soukayna Mouatadid, Paulo Orenstein +10

Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy, and prepare for weather extremes. Today, such forecasts enjoy unprecedented a…