The goal of this three-day Boot Camp was to provide training for the participants to use machine learning (ML) in weather and climate applications on High-Performance Computing systems (HPC). The participants received an introduction to the scientific domains of meteorology, ML, and HPC. Afterwards, they explored the applications developed in the MAELSTROM project that include:
- The use of citizen observations and social media data for better weather predictions
- The use of neural network emulators for faster forecast models
- The post-processing of ensemble and local weather forecasts
- The prediction of large-scale weather patterns to support energy production
See https://www.maelstrom-eurohpc.eu/products-ml-apps for further details.
The tutors were from MAELSTROM partners (https://www.maelstrom-eurohpc.eu/consortium):
- European Centre for Medium-Range Weather Forecasts
- Eidgenössische Technische Hochschule Zürich (ETH Zürich)
- 4Cast GmbH & Co. KG
- Meteorologisk Institutt
- Universite de Luxembourg
- Forschungszentrum Jülich.
The MAELSTROM Boot Camp was organised back-to-back with the MAELSTROM Dissemination Workshop (https://events.ecmwf.int/event/350/).
The MAELSTROM project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955513. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and United Kingdom, Germany, Italy, Luxembourg, Switzerland, Norway