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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. Show all training eventschevron_right

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Prefer to learn on your own schedule? Access a comprehensive selection of self-paced learning resources, including eLearning modules, recorded masterclasses, videos, GitHub repositories, and more. Whether reviewing fundamentals or exploring advanced subjects, you can structure your learning to fit your goals and availability. Show all resourceschevron_right

Tutorial on climatologies using climate data from C3S

Format: Jupyter notebooks

Access ERA5 data from the C3S Climate Data Store. Analyse climatologies and trends in near-surface air temperature.

Analysis of September 2020 European heatwave using ERA5 climate reanalysis data from C3S

Format: Jupyter notebooks

Analyse a heatwave with ERA5 data from the C3S Climate Data Store. Compare temperatures with climatology. Plot figures.

Tutorial on July 2023 record-breaking global surface temperatures using climate data from C3S

Format: Jupyter notebooks

View trends in air and sea surface temperatures in ERA5 data from the C3S Climate Data Store. Calculate and plot anomalies.

Visualising a full climate data record of multi-sensor aerosol data

Format: Jupyter notebooks

Introduction to the C3S Aerosol properties gridded data derived from satellite. Creation of a full Climate Data Record.

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Test Wageningen University

Format: Interactive modules (eLearning)

The ECPDS (ECMWF Production Data Store) Training

Format: Videos

Playlist: ECPDS - Training videos

This focuses on ECMWF's Production Data Store ECPDS, which: - Enables users to receive and manage real-time forecast...

The Extreme Forecast Index (EFI) and the Shift Of Tail (SOT) index

Format: Interactive modules (eLearning)

The EFI provides specialised forecast guidance for anomalous, extreme, or severe weather events. In this lesson you will learn how EFI, SOT and M-climate are built.