ECMWF has launched a new learning catalogue which provides a single access point for training events and self-paced learning materials produced across the Centre. The catalogue brings together resources from ECMWF’s training activities in meteorology and computing, training in the context of ECMWF’s support to the EU’s Copernicus programme and Horizon Europe-funded projects, as well as upcoming courses and materials from the Destination Earth (DestinE) and Strengthening Early Warning in Africa (SEWA) initiatives. The resources cover topics from meteorology and climate to machine learning (ML).
The new catalogue responds to community feedback and the growing need for clear, unified access to ECMWF’s training resources. Users can now browse, filter and access everything from upcoming courses to expert tutorials in one easy-to-navigate place.
(https://www.ecmwf.int/en/learning/training/search).
One hub for events and learning materials
The catalogue encompasses all of ECMWF’s training events, where users can follow links to register for in-person courses and online webinars. It also provides easy access to a rapidly growing library of on-demand training resources across a range of formats:
- Recorded tutorials, webinars and training videos.
- Interactive eLearning modules, allowing learners to explore concepts at their own pace, from the fundamentals of numerical weather prediction to advanced data assimilation or ML workflows.
- Hands-on Jupyter notebooks, which can be run directly in ECMWF’s new JupyterHub environment, enabling users to interact with datasets.
Together, these materials support users ranging from newcomers to experienced practitioners across weather, climate and Earth system science.
Structured navigation with flexible filters
A key improvement is the catalogue’s streamlined navigation (see the figure). Users can filter resources by:
- Topic: including various thematic categories
- Format: videos, Jupyter notebooks and interactive modules (eLearning)
- Tags: specific tools, datasets or topics
- Training events: can be filtered to upcoming or past events, and in-class or online
- Level: materials are sorted into “Fundamentals” (introductory material) and “Other” (for more advanced materials).
Each entry includes a description of the resource and links to launch and explore the content.
The learning catalogue reflects the diversity of ECMWF’s scientific and operational work, with content organised across multiple thematic areas, including numerical weather prediction, climate, atmospheric composition, forecasting, computing services and tools, data applications and ML.
Supporting hands-on learning
The integration of Jupyter notebooks with ECMWF’s Data Store Service JupyterHub allows users to run workflows immediately in the browser, removing setup barriers and enabling practical training with data. This capability strengthens ECMWF’s focus on accessible, hands-on learning.
Catalogue expansion
The learning catalogue will continue to grow as new resources and programmes are developed and added. Ongoing maintenance and updates are essential to ensure the content remains relevant and trusted: this will be carried out in collaboration with experts, with the aim of updating materials in an efficient and timely manner. The catalogue provides a long-term home for training resources across ECMWF and its programmes, reinforcing ECMWF’s commitment to provide advanced training to its Member and Co-operating States and beyond.
Browse our learning materials: https://www.ecmwf.int/en/learning/training/search