Training Description
This interactive training provided a hands-on opportunity to access and analyse ESA’s Climate Change Initiative satellite-derived data for climate change applications.
The session demonstrated how to access this data using a dedicated JupyterLab Training Environment and explore various relevant uses of CCI data for climate change applications (e.g., using CCI’s data records of Essential Climate Variables (ECVs) to illustrate urban heat island effects, increasing trends in the frequency and intensity of extreme weather events).
Jupyter Notebooks were provided to participants, with exercises accessible to different levels of programming proficiency, from complete beginners to more advanced levels. Additionally, the session introduced the ESA CCI Toolbox, a powerful Python package that simplifies access to and operations with ESA CCI’s ECVs.
Training Objectives and Topics
This notebook is designed for participants with no prior experience in Python or climate data analysis. You will learn:
- How to access CCI climate data using the CCI Toolbox python Package
- How to navigate and subset climate data
- How to create basic plots and statistics
- How to save a figure you generated
- How to map and interpret ECVs changes over time and space
Training Materials
To follow along with the training, you can view the Jupyter Notebook in read-only format below. To interact with or modify the content, you can fork the repository from the GitHub page or download the notebooks to your local environment.
Useful links