Microsoft released an open-source machine learning framework to improve the accuracy of sub-seasonal weather forecasts
Open source release Provisional 74% confidence first seen
Microsoft Research published and released an open-source machine-learning post-processing framework aimed at correcting a weather model’s historical errors to improve forecasts beyond the typical two-week horizon. The work was described as improving mid-range forecast performance in early testing and includes an associated research publication in Nature.