Course Content
- Experts' opinions on Machine Learning (🕓25 min)
- What is Machine Learning and what types of Machine Learning are there? (🕓 10 min)
- Why should we consider machine learning for weather and climate modelling? (🕓 15 min)
- Challenges for Machine Learning in weather and climate modelling (🕓 10 min)
- State-of-the-art and challenges of using observations in NWP (🕓 15 min)
- How can Machine Learning help for observation processing in NWP? (🕓 10 min)
- Machine learning for the processing of spatial data (🕓 15 min)
- Concept and state-of-the-art (🕓 15 min)
- Forecasting with ML (🕓 10 min)
- WeatherBench (🕓 30 min)
- Quiz
- A 10 minute Introduction to Data Assimilation (🕓 12 min)
- Similarities between Data Assimilation and Machine Learning (🕓 18 min)
- Concept and state-of-the-art (🕓 15 min)
- Post-processing with ML (🕓 12 min)
- The WMO S2S challenge (🕓 9 min)
- The synergies between machine learning and high-performance computing (🕓 15 min)
- Interactive map of supercomputers (🕓 10 min)
- Machine Learning with HPC (🕓 15 min)
- Cloud Computing and European Weather Cloud (🕓 18 min)