Online Galaxy Training on Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

Learn about Galaxy and how to compose and execute repeatable and reproducible modelling workflow with FATES for improving climate models.

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FATES is a numerical terrestrial ecosystem model for use in Earth System Models (ESM) that simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions. Participants will learn about climate modelling as well as how to use the Galaxy Climate JupyterLab for running FATES experiments and compare those with observational data.

This 2-day course is aimed at field ecologists, environmental scientists, climate modellers and biologists interested in improving climate models by better representing terrestrial ecosystems.

This is an informal and interactive event with type-along type of presentations, live coding, and demos. Short tutorials alternate with practical exercises.

For more details and registration :

Workshop requirements

  • You need to register to Galaxy before Galaxy CLM-FATES workshop.
  • Watch or read the command line crash course, if you aren’t familiar.
  • Knowing basic Python syntax can be useful but is not a mandatory requirement. We will not be teaching Python programming but will provide you with examples for plotting and analyzing FATES results.


  • Rosie Fisher
  • Anne Fouilloux
  • Hui Tang

The workshop will be held online, participant links will be sent to registered participants.

The training is free of charge, supported and funded by the Galaxy Training Network, EOSC-Nordic and EOSC-Life.

Tags: online training, FATES, Galaxy
Published Oct. 15, 2020 9:58 AM - Last modified Oct. 15, 2020 9:59 AM