Microsoft releases open-source machine learning tool to extend weather forecast accuracy
Microsoft researchers published a study in Nature describing a machine learning system that corrects bias in existing physics-based and AI weather models, improving forecast accuracy two to six weeks ahead. The tool, now available as open-source software, can run on standard CPUs rather than requiring supercomputers or powerful GPUs.
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Extended-range forecasts could give farmers and emergency responders more lead time to prepare for extreme weather, according to Microsoft researcher Lester Mackey. Because the approach corrects existing models rather than replacing them, it may offer resource-constrained weather agencies a cheaper path to better forecasts, positioning Microsoft alongside Google and Nvidia in the competitive push to apply AI to meteorology.
- Microsoft's new tool corrects bias in existing weather models rather than creating a standalone forecasting system.
- The research, published in Nature, claims improved forecast reliability two to six weeks out.
- The tool runs on CPUs instead of GPUs or supercomputers, potentially lowering costs for weather agencies.
Source: theverge.com — Justine Calma, 2026-10-14
Published there as: “Microsoft has a new machine learning tool to improve weather forecasts”
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