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Organiser ECMWF Training Course ML for NWP

Project Details





Organised and taught parts of this five-day course focusing on machine learning for numerical weather prediction (NWP).

Set the schedule, selected participants, co-ordinated with teachers and internal staff, virtual machines for hands-on sessions, etc

Lecture topics and teaching objectives included:

  • an overview on the use of machine learning in Earth Sciences,
  • the introduction into the most important machine learning methods that are relevant for Earth Sciences,
  • the introduction into software and hardware frameworks at ECMWF to facilitate the use of machine learning,
  • and examples for the use of specific machine learning tools across the weather and climate prediction workflow and how they can be prepared for use in operational predictions.
  • advanced methods like explainable AI, transformers, and self-supervised learning
  • data-driven weather forecasting
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