Welcome to Anemoi’s documentation!

The Anemoi framework provides a complete toolkit to develop data-driven weather models – from data preparation through to inference. The framework is composed of several packages which target the different components necessary to construct data-driven weather models. To aid development and deployment, each package collects metadata that can be used by the subsequent packages. The framework builds upon on established Python tools including PyTorch, Lighting, Hydra, Zarr, Xarray and earthkit.

Possible uses of Anemoi are for developing:

• Global deterministic forecast models

• Regional deterministic forecast models (limited-area models or stretched grids)

• Coupled atmospheric and ocean models

• Downscaling models

• Ensemble/probabilistic models

License

Anemoi is available under the open source Apache License.

Getting Started

• Introduction
• Anemoi Packages
• Installing
• A Tour Through Anemoi

Contributing

• Contributing
• Development Set-up
• Development Guidelines
• Code Quality and Style
• Testing
• Documentation

Anemoi Package Documentation

• anemoi-datasets
• anemoi-graphs
• anemoi-inference
• anemoi-models
• anemoi-registry
• anemoi-training
• anemoi-transform
• anemoi-utils