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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.

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