Copernicus Climate Change Service (C3S) data tutorials¶
Discover how to access and handle data of the past, present and future climate!
This website contains Jupyter notebook based tutorials that demonstrate how to access and process the wide variety of climate data available through the Climate Data Store (CDS) of the Copernicus Climate Change Service (C3S). Each tutorial contains interactive examples of common workflows used to derive information about the past, present and future climate. They contain clear, engaging and practical instructions on data handling, provided as code in Python and content in Markdown, which can be run in various cloud environments without any need for installation. The tutorials make use of climate data freely available on the CDS and accessed using an Application Programming Interface (API). We invite you to explore and experiment with them, and tailor them to your needs to extract results that are meaningful to you!
Target audience¶
The Jupyter notebooks provided by the Copernicus Climate Change Service (C3S) are designed for a diverse audience interested in climate data analysis. These include climate scientists, researchers and data analysts seeking to understand and interpret climate data. Additionally, educators and students aiming to enhance their knowledge of climate data processing will find these tutorials beneficial.
It is expected that users have a foundational level of python and expereince working in a Jupyter environment when running the Notebooks.
Learning objectives¶
Through these Jupyter notebooks, you will:
Equip yourself with practical skills in accessing, exploring, processing, and analysing climate data from the C3S Climate Data Store (CDS);
Learn how to handle data pertaining to observations, reanalysis, seasonal forecasts and climate projections, using examples coded in Python;
Implement example workflows that can be tailored by you to suit your needs for climate data analysis.