Microsoft’s Aurora foundation model beats operational forecasts for air quality, waves, cyclones and weather
Result confirmed
The takeaway
Aurora (Nature, May 2025) is an Earth-system foundation model pre-trained on over a million hours of geophysical data.
Status
- Claim
Result confirmed
- Our reporting
- High confidence
- Verification
- Peer-reviewed
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
Key facts
- Pre-trained on >1M hours of diverse atmospheric data
- Outperformed operational forecasts in 4 domains after fine-tuning
- Microsoft cites ~5,000× lower compute cost than numerical models (company figure)
What happened
Microsoft showed that the pre-train-then-fine-tune recipe of LLMs also works for the whole Earth system.
Why it matters
One model can be adapted cheaply to new environmental prediction tasks, including air pollution and ocean waves.
Sources
2 sources from 2 sites. Numbers match the chips in the text.
2 sources: 2 primary
Primary
- A foundation model for the Earth system (Nature)nature.com, paper
- Microsoft Source: Aurora goes beyond weather forecastingnews.microsoft.com, official
Changes
- Filed