This short course is part of the 2020 EGU General Assembly (SC1.21), it is an opportunity to learn about Copernicus data for Atmospheric Composition and get examples of how to develop your own workflows based on sample applications.
Webinar - 26 May at 10:30 CEST (slide deck of the webinar available here in the presentations folder)
- 10' Introduction and quick Slido polling session on topics for the hands-on session.
- 20' The data (ESA, CAMS, EUMETSAT).
- 30' Hands-on examples based on participants feedback gathered with Slido (Julia Wagemann, MEEO).
The sessions will be hands-on and supported by Earth Observation and Model experts to discover data, handle them and produce plots out of a sample of the Copernicus data. You will make use of a series of freely available tools specifically developed for these applications, including Jupyter Notebook modules, to have an easy and intuitive way to make use of Python programming.
No experience is necessary as various exercises will be provided for a wide range of skill levels and applications.
It is recommended to join via laptop.
Note: Slido will accompany the webinar session to collect your comments and answer your questions. The slido event will also stay open for the entire week (26-29 May) to support you during your individual data discovery.
(3) Discover the data yourself and pick your dataset to play with
A self-paced activity to start after the webinar until May 29th. You will receive support on slido with your questions.
(4) 29 May, at 10:30 CEST. Sharing results, feedback and course evaluation (zoom link provided via email to registered participants)
A final interactive sessions to discuss results, difficulties and provide us with your feedback.
Few additional info:
The European Union Copernicus programme is open and free for everyone - whether from academic, government, or commercial backgrounds. The programme has an operational focus, with satellite constellations and services.
Satellite data provides vital information on key atmospheric constituents, at different spatial and temporal scales, with continuous improvements in observational spatial and temporal resolution, coverage and measured species as well as a constantly evolving added value products from the Copernicus Atmospheric Monitoring Services.