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.
An Anemoi dataset is a thin wrapper around a zarr store that is optimised for training data-driven weather forecasting models. It is organised in such a way that I/O operations are minimised.
This documentation is divided into two main sections: how to use
existing datasets <using-introduction>
and how to build new
datasets <building-introduction>
.
overview
installing
overview installing
Using training datasets
using/introduction
using/opening
using/methods
using/subsetting
using/combining
using/selecting
using/grids
using/statistics
using/other
using/matching
using/miscellaneous
using/configuration
using/introduction using/opening using/methods using/subsetting using/combining using/selecting using/grids using/statistics using/other using/matching using/miscellaneous using/configuration
Building training datasets
building/introduction
building/operations
building/sources
building/filters
building/statistics
building/introduction building/operations building/sources building/filters building/naming-variables building/handling-missing-dates building/handling-missing-values building/statistics
Command line tool
cli/introduction
cli/create
cli/inspect
cli/compare
cli/copy
cli/introduction cli/create cli/inspect cli/compare cli/copy
anemoi-utils <anemoi-utils:index-page>
anemoi-datasets <anemoi-datasets:index-page>
anemoi-models <anemoi-models:index-page>
anemoi-training <anemoi-training:index-page>
anemoi-inference <anemoi-inference:index-page>
Anemoi is available under the open source Apache License.