microsoft/aurora

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1010 stars · 166 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Aurora is Microsoft's implementation of a deep learning foundation model for Earth system forecasting, predicting atmospheric variables like temperature, plus specialised versions for air pollution, ocean waves, and tropical cyclone tracking. It is a Python library pretrained on large datasets that can be fine-tuned for specialised atmospheric forecasting tasks with little data.

Use cases

• forecast weather variables like temperature with a machine learning model
• predict atmospheric pollution such as nitrogen dioxide
• forecast ocean wave direction and height
• track tropical cyclone paths
• fine-tune a weather foundation model on small specialised datasets
• run Aurora on ERA5 reanalysis data
• research deep learning for Earth system modelling

When to choose

• you need state-of-the-art ML-based atmospheric or ocean forecasting
• you want to fine-tune a pretrained Earth system foundation model on limited data
• you are doing research on weather, waves, or cyclone prediction with deep learning

When to avoid

• you need operational deterministic NWP rather than an experimental ML model
• you have no GPU resources for inference
• commercial use without licensing arrangements with Microsoft
• you need a general-purpose climate simulation package rather than forecasting

Facets

library · maturity active

machine-learning deep-learning simulation weather machine-learning artificial-intelligence data-science python foundation-model earth-system-forecasting atmospheric-chemistry ocean-waves tropical-cyclone-tracking weather-prediction era5 gpu

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For agents

markdown · JSON · MCP: product_card(name="microsoft/aurora")