News

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning weather forecasting systems. Named after the Greek gods of the winds, Anemoi is a collaborative, open-source initiative.

ECMWF is coordinating an EU Horizon project called WeatherGenerator which aims to use machine learning in novel ways for weather forecasting and to model related Earth system processes.

Anna Agustí-Panareda has spent the last few years modelling greenhouse gases in ECMWF’s Integrated Forecasting System (IFS). She now helps to develop a system to monitor anthropogenic emissions of these gases.

Machine learning is set to play a growing role in numerical weather prediction, but physics-based forecasting techniques will continue to be important, ECMWF’s Director-General Florence Rabier has said in an interview.

At the 2024 Annual Meeting of the European Meteorological Society (EMS), ECMWF will present developments in Earth system modelling from across the organisation.

ECMWF news highlights in the first seven months of 2024 include updates on forthcoming improvements in the Integrated Forecasting System, initiatives to drive forward weather science, and news from the EU-funded services implemented by ECMWF.

The summer 2024 issue of the ECMWF Newsletter is now available. As well as news about ECMWF staff and events, it features articles about new developments and the use that can be made of ECMWF products.

Ioan Hadade specialises in high-performance computing. His skills are essential to make our numerical weather forecasts run efficiently on our high-performance computing facility in Bologna, Italy.

Progress has been made in applying machine learning tools to adjust the initial conditions and the trajectory of physics-based forecasts.

In the next upgrade of ECMWF’s Integrated Forecasting System (IFS), changes in the ocean wind wave model component will be implemented which improve forecasts.