Microsoft's AI beat 6 weather centres at 2-6 week forecasts
Why it matters
Weather forecasts are accurate to about two weeks, then skill drops sharply 2–6 weeks out. Microsoft Research's Probabilistic Bias Correction (PBC), published in Nature, doesn't build another weather model: it learns how an existing model has been wrong in the past and corrects its new probabilistic forecasts. Applied to ECMWF's flagship, already debiased dynamical model, it improved skill for 98% of precipitation, 92% of temperature and 91% of pressure targets, and it doubled the modest 2–6 week skill of ECMWF's AI Forecasting System. In ECMWF's live 2025 AI Weather Quest, the PBC-based MicroDuet entry ranked first for every variable and lead time in the inaugural season, beating six operational forecasting centres and 34 teams; its week-4 forecast flagged a mid-December 2025 cold air outbreak in the eastern US that ECMWF's debiased model missed. Kenyan forecasters are piloting it this rainy season, and the code is open source. Caveat: the authors frame PBC as a post-processing tool, not a replacement for better weather models.
Read the source: Nature (Microsoft Research) (opens in a new tab)
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