MIT Model Doubles Weather Forecast Accuracy

MIT researchers developed a machine-learning model that doubles weather forecasting accuracy for the two-to-six-week subseasonal range. Published in Nature, the technique corrects errors in existing models and beats climatologic averages for the first time, significantly improving predictions for extreme weather events globally.