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Learning resources to facilitate use of datasets on the CDS



Here you will find a wealth of learning resources to help you make the most of the datasets available on the Atmosphere Data Store. These include practical data processing tutorials based on Jupyter notebooks, and more theoretical material on datasets, applications and underlying scientific concepts in the form of videos, recorded lectures and presentations from past training events and Massive Open Online Courses (MOOCs).

Explore these free resources, have fun, and send us feedback!

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Practical guides through Jupyter notebooks

Explore these Jupyter notebook tutorials, which demonstrate programmatic workflows in Python. They include step-by-step instructions to download datasets, visualize them in maps, animations, time series and other plots, and provide best practices for common processing steps such as unit conversion, aggregation and other data handling tasks.

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Massive Open Online Course (MOOC) on Monitoring Atmospheric Composition

Discover how atmospheric composition is monitored using satellites, in-situ data, and models. Watch interviews with leading atmospheric composition scientists, including experts from CAMS. This MOOC was developed for EUMETSAT and ECMWF CAMS in support of the EU’s Copernicus Programme.

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CAMS training activities

For an overview of all CAMS training activities, including training opportunities, upcoming events, and access to recordings and presentation files from past events, please visit the CAMS training landing page.















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