ELearning

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In person or online, learn with your peers

Take part in our classroom-based, online, or hybrid sessions designed to support learning through direct or virtual interaction with trainers and peers. These formats offer structured instruction and opportunities to explore concepts in depth — ideal for those who value real-time engagement and collaborative learning.

Training course: Use and interpretation of ECMWF products

Event: 6 - 9 October | ECMWF

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The aim of the course is to enhance participants’ ability to examine, assess, and utilise ECMWF output products and to...

Online training course: Introduction to ECMWF computing services (including MARS)

Event: 13 - 17 October | Online

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This online course will give an introduction to ECMWF's computing services available to users from Member- and Co...

Training course: Machine learning for weather prediction

Event: 27 - 31 October | ECMWF

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This four-day course focuses on machine learning for numerical weather prediction (NWP). This will include: An overview...

Training course: A hands-on introduction to Numerical Weather Prediction Models: Understanding and Experimenting

Event: 10 - 14 November | ECMWF

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This five-day course has a strong practical component and will draw on numerical weather prediction expertise from...

This notebook provides you an introduction to the Copernicus Climate Data Store (CDS), an overview of the type of data that can be accessed and gives practical examples how to access and retrieve data from the CDS. **This notebook is not yet applicable for accessing and retrieving data from the new

Wind Chill Index with Reanalysis Data

Format: Jupyter notebooks

This tutorial will demonstrate how to combine multiple variables of climate data to create an index. The example provided is of the wind speed index, but similar principles can be applied to many other types of single or multi-variable indices.