RUS Copernicus will provide a full day hands-on training session where participants will access from their own laptop a Virtual Machine to exploit the open source toolboxes available in the RUS environment to download and process Sentinel-5P data.
Please note that the RUS Copernicus Virtual Machines used for this training course can only be provided to citizens/residents of the Copernicus programme member countries (EU plus Iceland and Norway).
Sentinel-5P was launched in October 2017 to screen the Earth’s atmosphere and quantify different pollutants (CO, NO2, SO2, O3, aerosols…) with a great accuracy and spatial resolution. It also provides measurement continuity with precedent and ongoing atmospheric spatial missions (OMI, IASI and SCHIAMACHY). The data recorded by this satellite are free of use and present a great interest to globally monitor air quality, greenhouse gas emissions and detect and assess the impact of polluting events.
This full day hands-on training session will focus on the processing of Sentinel-5P data for different types of trace gases and aerosols in the atmosphere. The Jupyter notebook environment and the specifically designed Atmospheric Toolbox will be used throughout the workshop. You will learn to monitor both daily pollution and polluting events based on processed Sentinel-5P data.
First, you will get familiar with the Sentinel-5P mission and the structure of the products. You will then manipulate Sentinel-5P data to study particular use cases. This will include a presentation of the automatic download of Sentinel data by command line and the quantification of the nitrogen dioxide (NO2) pollution drop over Europe consequent to the lockdown of spring 2020. You will also learn how to monitor and follow the aerosols emitted by forest fires in California or sub-Saharan dust thanks to the daily measurement and global coverage of Sentinel-5P. Finally, you will gain knowledge on following the evolution of the ozone hole at the end of winter 2020.
Attendees must be in possession of their own computer with a microphone to follow the online training and will be provided with access to the RUS platform Virtual Machine.
Attendance to the training course is free of charge.
Space is limited to 20 Participants on a first-come first-served basis.