AI Reports · MIT · 2026-10-14 · Blog / commentary
Researchers improve weather forecasts looking two to six weeks out
Researchers, including a team at MIT, have developed a machine-learning model that corrects errors in existing forecasting models to improve predictions two to six weeks out. Applied to a gold-standard model, it doubled forecasting accuracy in that window and placed first in a prominent international forecasting competition. The paper in Nature reports that these forecasts beat climatological averages between two and six weeks for the first time.