This repository contains Jupyter notebook training material for the Copernicus Climate Change Service (C3S) and the Copernicus Atmosphere Monitoring Service (CAMS). Some notebooks were produced for specific training events, but all can be used as standalone tutorials. Below is a description of each notebook, listed in reverse chronological order.
Each description includes a high level outline of the training content and objectives, describing the tools and data presented. If a notebook was developed for a particular training event, this event is also described. At the end of each description you can find links to run the notebook in Binder, in Colab and to view a rendered version in Nbviewer.
Tutorial on access and visualisation of CAMS global forecast and reanalysis data
This Jupyter notebook tutorial demonstrates how to access CAMS global atmospheric composition forecasts and CAMS global reanalysis data, using the Atmosphere Data Store (ADS) API. It also shows how to use Python to create basic visualisations.
The tutorial was developed for a training event in September 2021 entitled, "Introduction and Access to Global Air Quality Forecasting Data and Tools". The event was organised together with the NASA Applied Remote Sensing Training (ARSET) Program. Please see more detials on this event here.
Run the tutorial here: 
Tutorial on access and processing of C3S and CAMS data
This Jupyter notebook tutorial provides step by step instructions on how to access C3S and CAMS data from the various catalogues, how to carry-out basic processing, such as calculation of climatology and anomalies, and how to visualise the data. The data includes C3S ERA5 reanalysis data of soil moisture, CAMS European Air Quality Forecast data for dust and PM10, and CAMS Global Near-Real-Time data for total Aerosol Optical Depth (AOD).
The tutorial was developed for a training event to data journalists on 23 February 2021.
Run the tutorial here: 
Tutorial on C3S climate data access and analysis of climate extremes
This Jupyter notebook tutorial shows you how to access ERA5 data using the CDS API and how to analyse extreme values associated with a particular event (extreme temperature in Northern France in September 2020). The tutorial was developed for an online WEkEO training event on 12 November 2020.
Run the tutorial here:
Tutorial in Italian on data and tools provided by C3S - Tutorial sull'uso dei dati e strumenti forniti dal C3S
This Jupyter notebook tutorial is in Italian and features and introduction to the Climate Data Store (CDS), the Copernicus Knowledge Base, the CDS Toolbox and API. The tutorial was developed for a training to Italian masters students on 19 November 2020.
Run the tutorial here:
Tutorial on calculating a climate index with data from C3S
This Jupyter notebook tutorial shows you how to create an index for wind chill from UERRA reanalysis data of temperature and wind speed. The tutorial was developed for an online WEkEO training event on 12 November 2020.
Run the tutorial here:
Tutorial on analysing climatologies and trends in C3S ERA5 reanalysis data
This Jupyter notebook tutorial demonstrates you how to access ERA5 data using the CDS API and how to calculate climatologies and trends of near-surface air temperature. The tutorial was developed for an online WEkEO training event on 12 November 2020.
Run the tutorial here: