Introduction
This is the user guide for machine learning (ML) services at ECMWF.
Further support is available through the following channels:
- For enquiries relating to data access, computing resources and related issues, please raise a ticket via the ECMWF Support Portal.
- To follow announcements and engage in discussions with the user community and ECMWF staff, visit our User Forum.
- To raise a bug report or contribute to Anemoi developments, please create a Github issue in line with our contribution guidelines.
User Documentation
Anemoi
Anemoi is an award-winning open-source, Python-based framework developed collaboratively by ECMWF and several European national meteorological services. It is designed to facilitate the development, training, and deployment of machine learning models for weather forecasting. As an 'end to end' framework, it provides a comprehensive toolkit that spans data preparation, model training, and inference, enabling meteorological organizations to leverage their own data for ML-based weather prediction. Anemoi packages are listed below, together with their dedicated user documentation. In January 2025, a webinar series took place exploring various components of the Anemoi framework. Webinar recordings and presentation materials are freely available on the ECMWF website.
FAQsAnemoi News
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ai-models
ECMWF runs several third-party data-driven weather forecasting models alongside the AIFS. These state-of-the-art models are developed externally and are not maintained by ECMWF. The models are run daily and graphical output is publicly available on the OpenCharts platform. Raw data are not available to users. Users can also generate their own forecasts from these models using the experimental ai-models package. Please note that support for third-party models accessed through ai-models is provided on a best-efforts basis, and may not always be possible. For model-specific functionality, we recommend contacting the original model developers.
How-to guides
FAQsai-models News
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GPUsGPUs are available through the ATOS high performance computing facility (HPCF) and the European Weather Cloud. GPU usage is permitted only got approved users affiliated with National Meteorological and Hydrological Services in the Member and Co-operating States of ECMWF. GPU access may also be made available for research in the context of ECMWF Special Projects. See Access to Computing Facilities for further details on how to request access to GPU resources. Technical GPU documentation can be accessed via the following links:
GPUs News
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