MEEO s.r.l.

CLASS: Collaborative LeArning ServiceS

We are developing a series of effective learning resources for satellite-based data on atmospheric composition, dust and wildfire monitoring. These consist of tailored Jupyter Notebooks and training curricula for workshops and training schools on behalf of EUMETSAT training.

Natural color composite of the Canary Islands, showing a dust event recorded by Meteosat Second Generation SEVIRI on 22 February 2020
This plot shows the retrieved ozone total column data in Dobson Units for 1 September 2020 from IASI.
This plot shows the concentration and longitudinal distribution of carbon monoxide over the the Mediterranean varies at different pressure levels and at different longitudes.
Vertically integrated carbon monoxide column data from Sentinel-5P showing smoke from wildfires on Borneo, Indonesia.
Plot of PM2.5 and PM10 data (EEA Air Quality) for February 2021 in Varese, Italy

We're excited to be working with MEEO S.r.l on the CLASS: Collaborative LeArning ServiceS contract. The team, headed by Julia Wagemann and Simone Mantovani will continue to enable users to access, process and visualize satellite-based data about atmospheric composition, dust and wildfire monitoring.

Events where our notebooks and training have been featured are shown below.

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