ECMWF

We are looking for a highly motivated Scientist to work on hybrid modelling that combines physics-based and machine learned approaches to Earth system modelling. The successful candidate will work with ECMWF teams in implementing a new approach that nudges the large scales of ECMWF’s physical weather forecasting model the Integrated Forecasting System (IFS) towards the machine learned forecasting model the Artificial Intelligence Forecast System (AIFS) to develop a forecast system that combines the best of both worlds achieving the (better) large-scale skill of the AIFS and the physical consistency and detailed representation of small-scale features of the IFS. The work will combine cutting edge, km-scale modelling and machined learned weather forecasts. The hybrid model configurations will be prepared for application in numerical weather predictions both in the context of operational products at ECMWF and for use in the weather induced-extremes Digital Twin...