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Empowering weather and climate forecast

MAELSTROM Boot Camp 2022

What it is about

MAELSTROM Boot Camp 2022: Machine Learning for Weather and Climate will be held from 27 September 2022 at 9:00 CEST to 30 September 2022 at 17:00 CEST on-site at Forschungszentrum Jülich.

Register here until 15th Aug 2022.

This four-day Boot Camp will provide training to use machine learning (ML) in weather and climate applications on high-performance computing systems (HPC). Participants will explore the applications developed in project MAELSTROM with an introduction to the scientific background of meteorology, ML, and HPC.

Our Boot Camp will cover the following topics:

  • An overview of project MAELSTROM
  • Introductory lectures on ML methods, meteorology, and high-performance computing systems
  • Lectures on bespoken ML approaches of MAELSTROM's six meteorological applications
  • Comprehensive hands-on tutorials in the scope of the MAELSTROM applications

The tutors are from MAELSTROM partners: ECMWF, 4Cast, E4 , ETH Zürich, FZJ, MetNo, and Université de Luxembourg.

What to get out of it

Why join our bootcamp?

  • Work on one of Europe's fastest supercomputers!
  • Hang with ECMWF's and JSC' scientific staff and other high-caliber people from across Europe
  • Be one of the first to try methods that may usher in a new era of weather & climate prediction

Who our Boot Camp is for

Target participants are Master and PhD students.

Participants should have a basic background either in meteorology or machine learning or both. Some limited knowledge of Python and standard ML frameworks (e.g. TensorFlow or PyTorch) is preferred. Ideally, you are also familiar with Jupyter Notebooks and git, though this is not required.

This event will be held in English.

There will be no registration fee, but travel and accommodations must be paid by your home institution (or yourself).

Additional informaton

Please check the FZJ web page for information on how to get to Jülich and book your own accommodation.

List of hotels (not exhaustive):

If you have any question, feel free to contact us:
b.gong@fz-juelich.de; m.langguth@fz-juelich.de