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AI Model Aurora Sets New Benchmark in Weather Forecasting

Aurora, unveiled in Nature, outperforms traditional systems in cyclone tracking, offers city-scale forecasts on desktops, and signals a shift in meteorology.

Extreme weather events were particularly well predicted by the AI model

Overview

  • Aurora, a foundation model developed by Microsoft and partners, delivers 20–25% greater accuracy in five-day cyclone forecasts compared to seven leading forecasting centers.
  • The AI system correctly predicted Typhoon Doksuri's track four days in advance, outperforming traditional models that missed the storm’s path.
  • Unlike physics-based models requiring supercomputers, Aurora uses machine learning to analyze historical data, enabling high-resolution forecasts on standard desktops.
  • Aurora's flexibility allows fine-tuning for diverse Earth system predictions, including air pollution, ocean dynamics, and extreme weather events.
  • Experts predict major weather centers will integrate AI alongside traditional methods within 2–3 years, with AI-driven forecasts becoming primary by 2027–28.