Aurora
A foundation model for the whole Earth system
What it is
Microsoft Research's foundation model for the Earth system, pretrained on large atmospheric datasets and fine-tuned into specialized versions for weather, air pollution, and ocean-wave forecasting. Aurora 1.5 extends it with more variables and hourly forecasts.
Why it's interesting
An open, pip-installable AI weather model in the GraphCast lineage that runs forecasts far faster and cheaper than numerical models — with air-quality and ocean-wave heads that reach beyond standard weather prediction.
Use cases
- Medium- and high-resolution weather forecasting
- Air-pollution prediction
- Ocean-wave and climate research
Who it's for
Atmospheric and climate scientists, forecasting teams
Setup
Moderate. Python, pip install microsoft-aurora, a GPU, and ERA5-style input data
Limitations & cautions
As a neural forecaster it can be arbitrarily poor in edge conditions with no accuracy guarantees, and the commercial path routes through Microsoft.
Editorial takeaway
AI weather models are quietly rewriting a field that ran on supercomputers for fifty years. This is one of the few you can actually pip install.