Topic outline

  • The ozone hole tour

    This short course focuses on the analysis of the Antarctic and Arctic ozone hole in 2020. 


    2020 Ozone hole


    The short course consists of two parts:

    • 18 February 2021, 12:00 UTC (13:00 CET) | Live webinar including a practical hands-on session
    • 23 February 2021, 14:00 UTC (15:00 CET) | Live feedback session -  to attend please click here.

    The live webinar on 18 February gives you an introduction to the topic and the practical training material and has two parts: (i) first, the basics of stratospheric ozone science and observational techniques will be discussed and (ii) second, a practical hands-on session allows learners to learn more about ozone data from the GOME-2 and IASI instruments aboard Metop-A/B/C, how it can be analysed and animated.

    Between the short course and the feedback session, you can work with the data in a self-paced manner. During the feedback session, we will discuss open questions and feedback.

    You can engage and ask questions via Slido.com: #EUMSC11 or simply click here.

    Start familiarising yourself with the data and practical training material ahead of the short course.
    See the section 'Jupyter-based training platform and practical training material' on how to get access.

    with Alessandra Cacciari, Julia Wagemann, Federico Fierli 


    • Course outline

      The course has the following outline:

      • 12:00 - 12:20: Welcome and Introduction to stratospheric ozone (Federico Fierli, EUMETSAT) - presentation here
      • 12:20 - 12:45: GOME-2 Level 2 data (Alessandra Cacciari, EUMETSAT) - you can find the presentation here
      • 12:45 - 13:25: The Arctic and Antarctic ozone hole in 2020 - Practical workflows with Jupyter notebooks (Julia Wagemann, MEEO)
      • 13:25 - 13:30: Q&A and Wrap-Up (Julia Wagemann, MEEO)


      Session recordings

      Recording of the webinar on 18 Feb 2021 is available here: 


      • Jupyter-based training platform and practical training material

        The course material is made available on a JupyterHub instance, a pre-defined environment that gives learners direct access to the data and Python packages required for following the course.

        The Jupyter-based training platform can be accessed as follows:

        There are 100 places available, which will be given on a first come first served basis.

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        To reproduce the course modules on your local setup, the following Python version and Python packages will be required:



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