ATS Seminar Series: Peter Dueben

Title: "Machine learning for weather and climate predictions"

Speaker: Peter Dueben, AI and Machine Learning Coordinator at the European Center for Medium Range Weather Forecasting

Abstract: The talk outlines how machine learning, and in particular deep learning, could help to improve weather predictions in the coming years, and presents an overview of the work on machine learning methods that is ongoing at the European Centre for Medium-Range Weather Forecasts. Weather predictions are based on models of the Earth system -- a huge system that consists of many individual components and shows chaotic behavior. For such a system, conventional tools are often struggling to provide satisfying results. On the other hand, a huge amount of data is available from both observations and modelling. Therefore, many machine learning applications are currently tested to improve the different components across the workflow of numerical weather predictions.