Use cases of sophisticated machine learning techniques – such as deep neural networks – in Earth sciences have left their infancy and are now learning to walk towards operational use. This workshop discussed machine learning applications for numerical weather predictions and climate services and focussed on four topics:
- Machine learning for emulation of model components
- Machine learning for forecasts from now-casting to seasonal
- Machine learning for feature detection and user applications
- Machine learning tools and high-performance computing
The workshop consisted of both invited talks and talks that were selected from abstracts. The workshop was fully virtual and there was no fee for registration or abstract submission. The workshop was organised back-to-back with the virtual MAELSTROM dissemination workshop (www.maelstrom-eurohpc.eu) that took place on 28 March. The dissemination workshop provided an update on MAELSTROM developments and invited talks.