RUS Copernicus is holding a remote hands-on training session over two half-days, 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 (S5P) was launched in October 2017 to screen the Earth’s atmosphere and quantify a wide variety of 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 sensed by this satellite are free of use and present a great interest to globally or regionally monitor air quality, greenhouse gas emissions and detect and assess the impact of polluting events. This mission belongs to Copernicus, the European Earth Observation Programme coordinated and managed by the European Commission.
These two half-day hands-on training sessions will focus on processing S5P data to monitor the nitrogen dioxide (NO2) concentration in the troposphere (lower part of the atmosphere). Python in the Jupyter notebook environment and the specifically designed Atmospheric Toolbox will be used throughout the workshop.
During the first morning (22/09), you will learn about the Sentinel-5P mission and the associated products. Basic python exercises in the Jupyter notebook environment demonstrating the Sentinel-5P product download, exploration and plot will follow.
The second morning (23/09) will introduce you to more advanced applications of the S5P NO2 products. This will include computing and mapping the averaged NO2 concentration over Europe for a two-week time period during Spring 2020. You will assess how it compares to the same time period in Spring 2019. This will lead to the quantification of the NO2 pollution drop over Europe resulting from the covid lockdown measures. Finally, we will monitor the NO2 concentration time series over a European city during the lockdown.
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.