Welcome to anemoi-models documentation!

Warning

This documentation is work in progress.

Anemoi is a framework for developing machine learning weather forecasting models. It comprises of components or packages for preparing training datasets, conducting ML model training and a registry for datasets and trained models. Anemoi provides tools for operational inference, including interfacing to verification software. As a framework it seeks to handle many of the complexities that meteorological organisations will share, allowing them to easily train models from existing recipes but with their own data.

Anemoi models provides the core model components for used by the rest of the Anemoi packages to train graph neural networks for data-driven weather forecasting.

• Overview

• Installing

Modules

• Data Indices
• Distributed
• Interface
• Layers
• Models
• Preprocessing

Anemoi packages

• anemoi-utils

• anemoi-transform

• anemoi-datasets

• anemoi-models

• anemoi-graphs

• anemoi-training

• anemoi-inference

• anemoi-registry

License

Anemoi is available under the open source Apache License.