MIT ML technique breaks records for 2-6 week weather forecasts by learning to correct model errors
LesterMackey · x · 2026-10-22
MIT researchers developed a machine-learning model that learns to correct errors in existing forecasting systems, significantly improving accuracy in the 2-to-6-week window — a historically difficult range that matters for emergency planning, including extreme weather events like Texas' 2021 grid failure. The team reports record-breaking performance for this time frame.
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