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Machine-learning correction improves two-to-six-week weather forecasts in Nature study
A Nature paper reports that a machine-learning method that corrects systematic errors in ECMWF forecasts improves skill two to six weeks ahead, where forecasts are weakest. Skill at that range remains modest even after correction.
Evidence: 4 sources · 1 official record · 1 independent report · 2 research papers · 3 open questions