Short_course_11: The ozone hole tour

Programação

• The ozone hole tour

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

  
  

  
  

  
  

  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:

  • Web address: https://training.ltpy.adamplatform.eu
  • Create an account here.
  • Log into the training platform with your account created.

  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:

  • Python version: Python3.8
  • Python packages include xarray, netCDF4, numpy, matplotlib,  cartopy, cdsapi, ipynb, scikit-image and ffmpeg-python

  
  
  

• More on EUMETSAT training...

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