News

Europe’s first exascale supercomputer, JUPITER, at Forschungszentrum Jülich, Germany, has gone into operation, marking a significant milestone in high-performance computing for weather and climate research.

We are participating in the 2025 Annual Meeting of the European Meteorological Society from 7 to 12 September. Find out about our booth and which sessions our staff are involved in as speakers, poster presenters and conveners.

ECMWF news highlights in the first seven months of 2025 include updates on our Integrated Forecasting System and our Artificial Intelligence Forecasting System, on initiatives in weather science, and on the EU-funded services implemented by ECMWF.

The summer 2025 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.

ECMWF has appointed three scientists as new Fellows to collaborate on research projects undertaken at the Centre. They add to five scientists whose Fellowships were renewed or started in 2023.

Construction has begun on ECMWF’s new cutting-edge headquarters in Reading, UK, marked by a groundbreaking ceremony on 9 July 2025.

ECMWF’s Council, representing 35 Member and Co-operating States, has announced the appointment of Dr Florian Pappenberger as the Centre’s next Director-General from 1 January 2026. He will take over the post from Dr Florence Rabier.

The ECMWF Annual Report 2024 is now available online, reviewing progress towards the goals set out in our ten-year Strategy under the pillars of ‘Science and technology’, ‘Impact’, and ‘Organisation and people’.

ECMWF has taken the ensemble version of the Artificial Intelligence Forecasting System (AIFS) into operations today, 1 July 2025, to run side by side with the traditional physics-based Integrated Forecasting System (IFS) to advance numerical weather prediction.

In the next upgrade of ECMWF’s Integrated Forecasting System (IFS), humidity in the stratosphere will be analysed based on observations to improve the starting conditions of forecasts.