MAELSTROM is a large EuroHPC research project aiming to improve weather and climate prediction via the use of machine learning. MAELSTROM joins the powers of the three scientific domains of high performance computing, machine learning, and Earth system science to cope with the extreme complexity inherent in weather and climate forecasts, the massive datasets that need to be digested within Earth sciences, and the challenges when developing large and scalable machine learning tools that are customised for application in weather and climate models.
This workshop started with an overview on the MAELSTROM project and continued with invited talks by experts from the three domains of machine learning, high-performance computing, and Earth sciences to summarise and disseminate the latest research and developments towards highly efficient, scalable machine learning tools that improve weather and climate predictions. The workshop was a hybrid event.
The MAELSTROM Dissemination Workshop was organised back-to-back with the MAELSTROM Boot Camp (https://events.ecmwf.int/event/351/).
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