Series of online short courses on data discovery for weather, oceanography, air quality and climate

Future events
  • 8 December 2021, 12:00 UTC - Coding for EO (Python & R) Register
  • 9 December 2021, 13:00 UTC - Data Access Services: 3rd Drop-in Session | Register
  • 13 January 2022, 13:00 UTC - Data Access Services: 4th Drop-in Session | Register
  • 25 January 2022, 12:00 UTC - Ocean and Sea Ice (OSI) SAF webinar: Sea Surface Temperature | Register
  • 27 January 2022, 12:00 UTC - OSI SAF webinars: Sea Ice Parameters | Register
  • 1 February 2022, 12:00 UTC - OSI SAF webinars: Climate Data Records | Register
  • 10 February 2022, 13:00 UTC - Data Access Services: 5th Drop-in Session | Coming soon
  • 16 February 2022, 12:00 UTC - Data Cube for atmospheric composition | Coming soon
  • 2 March 2022, 12:00 UTC - Simulators for training Coming soon
  • 11 March 2022, 13:00 UTC - Data Access Services: 6th Drop-in Session | Coming soon
  • 16 March 2022, 12:00 UTC - AI and chemical composition from satellite Coming soon
  • 6 April 2022, 12:00 UTC - Dust monitoring and forecasting Coming soon
  • 27 April 2022, 12:00 UTC - Regional courses’ (what they are, objectives, scope, network, experiences) Coming soon
  • 4 May 2022, 13:30 UTC - The AI Mooc - The story behind a Mooc (from marketing to funding, instructional design and implementation) Coming soon
  • 18 May 2022, 12:00 UTC - Troubleshooting the Jupiter Notebooks or how to set up a training notebook Coming soon
  • 8 June 2022, 12:00 UTC - Marine Weather Forecasting Coming soon

The courses are open and address a wide range of attendees, from service providers to  scientists and forecasters. Participants will have the opportunity to learn: 

      • which are the EUMETSAT and Copernicus free and open data.
      • where to access the data and where to find information about the data.
      • how to handle the data using the tools proposed.
The format of each short course is a 1-2 hour webinar on Zoom including a presentation and demonstration of data discovery and application. You will have the opportunity to interact with experts and ask questions. Some courses will include a follow-up  phase where you can explore the data on your own and get expert feedback. 

Certificates of participation may be awarded upon request. 
All sessions will be recorded.  

Past events:
  • 24 November 2021 - Winter Weather in Satellite Data | Go to course
  • 9 November 2021 - Weather-related satellite data with Jupyter Notebooks | Go to course
  • 4 November 2021 - Application of machine learning approaches to ocean colour topics | Go to course 
  • 19 October 2021 - Gap Filling Ocean Data (statistical and machine learning methods) | Go to course 
  • 6 October 2021 - Machine Learning for Seamless Thunderstorm Nowcasting from Multiple Data Sources | Go to course 
  • 16 June 2021 A Climate Data Record of Soil moisture in the root zone | Go to course 
  • 31 May 2021 - EUMETSAT New Data Services for Data Centre Users - Accessing and Tailoring SEVIRI 1.5 Data | Go to course 
  • 19 May 2021 - Exploring the EUMETSAT Land-Surface Temperature Data Records | Go to course 
  • 12 May 2021 - Spot atmospheric convection from satellite: What satellite data is used in convection analysis | Go to course 
  • 14 April 2021 - The temperature of the sea surface | Go to course 
  • 17 March 2021 - How to build a case study – a demo session | Go to course 
  • 18 Febr 2021 - The ozone hole tour | Go to course
  • 3 Febr 2021 - Applications of R-Instat to analyse and validate satellite based climate time series Go to course
  • 20 Jan 2021 - Learn to use an R based toolbox to analyse climate time series - Basics | Go to course 
  • 9 Dec 2020 - What is a gridded dataset and how to create it ? A case study on pollutants before and after COVID lockdown with GOME-2 instrument | Go to course 
  • 25 Nov 2020 - The colour of the oceans | Go to course 
  • 10 Nov 2020 - The monthly weather briefing of EUMeTrain | Go to recording
  • 28 Oct 2020 - A climate data record of "sunshine", SARAH | Go to course 
  • 14 Oct 2020 - Summer(s) of fires: the 2019 wildfires in Australia | Go to course 
  • 6 Oct 2020 Satellite skills training online: a short introduction | Go to course 
  • 30 Sept 2020 - A light on heat: what radiation tells about soil, air and fire | Go to course 
  • 16 Sept 2020 - How high is the sea? A discovery of altimetry data | Go to course 

Discover Ocean and Land Colour data from the Instruments (OLCI) onboard the Sentinel-3 satellites, including data access, visualization and processing. Tools will include Python, Jupyter Notebooks & SNAP.

with Hayley Evers-King, Lauren Biermann and Oliver Clements

25 November 2020, 12:00 UTC

Details on the CM SAF SARAH climate data record (available since 1983), focusing on sunshine duration and surface solar radiation, incl. current applications and future developments. In an interactive session you will be able to explore the SARAH data record using the CMSAF R Toolbox and discuss the results.

with Jörg Trentmann, Uwe Pfeifroth, Steffen Kothe and Christine Träger-Chatterjee

28 October 2020, 12:00 UTC

Learn more about fire monitoring with satellites in general and the NRT Sentinel-3 SLSTR Fire Radiative Power (FRP) and Aerosol Optical Depth (AOD) data products in specific.

The course will be accompanied with a practical training where the data and three different examples of recent wildfire events will be introduced. The practical training is based on Jupyter notebooks.

with Federico Fierli, Julien Chimot and Julia Wagemann

Feedback session: 19 Oct 2020, 12:00 UTC

A framework for teaching skills (Merril, M. D (2002) for teaching satellite skills online. 
You will consider what activities may best suit your learning objectives drawing on examples from EUMETSAT training. The short course will consist of a webinar followed by a guided design process for those who have active courses to design. 

with Mark Higgins

6 October 2020, 13:00 UTC

A formula-free approach to remote sensing based on images from GOES and Meteosat satellites. How to twist radiance readings at the satellite into air temperatures and soil characteristics. Guided exercises on viewers will try to make you familiar with satellite data.

with Jose Prieto 

30 September 2020, 12:00 UTC

Discover the sea level data from the SRAL sensor onboard the Sentinel-3 satellite. We will cover where to get data and how to interpret the data to answer scientific questions in Python through the Jupyter Notebooks interface. We will also introduce the upcoming altimetry sensor on the Sentinel-6 mission.

with Vinca Rosmorduc and Olly Clements

16 September 2020, 12:00 UTC   

Get an overview on the climate data records available from the EUMETSAT Satellite Application Facilities, learn how to access them and gain first experiences on working with free and open data in the CM SAF - R -Toobox. Data and software developers will be available for questions and guidance.

20 May 2020

The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)


Learn about Copernicus data for Atmospheric Composition and learn how to develop your own workflows based on sample applications. 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 composition vital information on key atmospheric constituents at different spatial and temporal scales with a 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.

26 May 2020

The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)


This short course will guide attendess through the workflow of finding appropriate data, downloading the data and analysing the data.  Through the course we will make use of the WeKEO DIAS hosted processing system, Sentinel Applications Platform (SNAP) software, and Python programming language. 

19 May 2020

The course was offered in the context of EGU2020: Sharing Geoscience Online (#shareEGU20)