For further information, please see: https://www.ems2022.eu/workshops_and_excursions/workshop_effective_communication_of_agrometeorological_services.html

Experts will guide the audience on a journey during which the monitoring and forecasting of recent intense wildfires will be demonstrated with remote sensing data and Copernicus services products. Focus will be given to recent events which have posed environmental threats and have had an impact in the media. The demo will address key steps including access, discovery, data handling, visualization and animation of satellite and model-based data.

We will make use of Jupyter notebooks, which will allow for an effective and intuitive data-driven storytelling. The demo material will be accessible live to participants and will be freely available. The event also aims to foster collaboration amongst participants and receive feedback on their needs in term of data access and tools.
See also https://www.ems2022.eu/workshops_and_excursions/data-demo-workshops.html

Also note the partner workshop WS4 - Discover, process and visualize data for dust storm events in Europe

Experts will guide the audience on a journey during which the monitoring and forecasting of recent intense dust storms will be demonstrated with remote sensing data and Copernicus services products. Focus will be given to recent events which have posed environmental threats and have had an impact in the media. The demo will address key steps including access, discovery, data handling, visualization and animation of satellite and model-based data.

We will make use of Jupyter notebooks, which will allow for an effective and intuitive data-driven storytelling. The demo material will be accessible live to participants and will be freely available. The event also aims to foster collaboration amongst participants and receive feedback on their needs in term of data access and tools.
See also https://www.ems2022.eu/workshops_and_excursions/data-demo-workshops.html

Also note the partner workshop WS3 - Discover, process and visualize data for wildfire events in Europe

Clouds pose a challenge to our understanding and modelling capabilities as they are highly variable. But what does that mean? How can we measure or classify the variability of clouds? How can we distinguish more or less variable cases and days? And how can we visualise the cloud data and uncertainty using common programming tools? In this workshop, we will analyse the variability of clouds and we will discuss different possibilities of measuring variability and developing new ideas of visualisation. As a practical aspect, we will look at different data sources – high-resolution simulations, classical numerical weather prediction simulations, satellite data and ground-based remote sensing measurements. How do they differ when it comes to the variability of clouds? Do we come to different conclusions if we compare vertical and horizontal variability? Or do we have a common ground? And what does it mean to visualise the variability differently? Besides some theoretical introduction and discussion, we will work on two different datasets, each characterising clouds on one day – on which day was the cloud field more variable?

The workshop is aimed at people with some background knowledge in clouds, programming and data analysis (e.g. PhD candidates or young Postdocs). For the practical exercise a laptop is needed.