Virtual Event: ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction

The capability of machine learning to learn complex, non-linear behaviour from data offers many application areas across the numerical weather prediction workflow, including observation processing, data assimilation, the forecast model and the emulation of physical parametrisation schemes, as well as post-processing. This talk provides an overview on the activities at ECMWF to explore the potential of machine learning, and in particular deep learning, to improve weather predictions in the coming years.