(Press-News.org) EMBARGO: Monday 17th November 2025 – 18:00 CT
ECMWF and European Partners win prestigious HPCwire Award for "Best Use Of AI Methods for Augmenting HPC Applications” – for AI Innovation in Weather and Climate
St. Louis, Missouri, 17th November 2025 - The European Centre for Medium-Range Weather Forecasts (ECMWF) and several National Meteorological Services across Europe (AEMET, DMI, DWD, FMI, GeoSphere, KNMI, Meteo-France, MeteSwiss, MET No, RMI, SMHI and UKMO) have been honoured with the 2025 HPCwire Readers’ and Editors’ Choice Award for “Best Use of AI Methods for Augmenting HPC Applications”. The award was announced at the 22nd annual HPCwire Readers’ Choice Awards ceremony, held during the SC25 International Conference for High Performance Computing, Networking, Storage, and Analysis.
The winning collaboration was recognised for its work on Anemoi, a portable, scalable, open-source framework for building and running the next generation of AI-driven weather and climate applications. Anemoi enables the efficient creation of AI-ready datasets and supports AI model training and inference across diverse HPC architectures, including EuroHPC systems. This innovation already powers a range of AI weather and earth system models, including those developed within the EU’s Destination Earth initiative to support climate adaptation and resilience.
The full list of award winners is available at https://www.hpcwire.com/2025-hpcwire-awards-readers-editors-choice (page is password-protected until the embargo is lifted), and additional information can be found on the HPCwire website.
“Alongside our collaborators from national Met Services in Europe, we are very proud to have won this global award. This is a testament of the rapid progress we have made in harnessing AI within the European Meteorological Infrastructure. It reflects our commitment to combining high-quality data resources, operational expertise, and a strong legacy of collaboration to advance weather and climate prediction. It is especially significant because the voting comes from our peers in the HPC and AI communities,” said Dr Matthew Chantry, Strategic Lead for Machine Learning at ECMWF.
“While the early advances in applying AI to science and engineering are producing exciting and impressive results, traditional HPC continues to drive breakthrough discoveries for mission-critical workloads and applications,” said Tom Tabor, CEO of TCI Media, publishers of HPCwire. “The 2025 Readers’ and Editors’ Choice Awards truly capture this dynamic era of innovation. Across the globe, grand challenge problems are being tackled - and often solved - thanks to HPC, now amplified and accelerated by AI. We extend our sincere gratitude and warmest congratulations to all of this year’s winners.”
The annual HPCwire Readers’ Choice Awards are determined through a global nomination and voting process, as well as selections from the HPCwire editorial panel. The awards are a highlight of the supercomputing community calendar, recognising outstanding achievements in high performance computing, networking, storage, and data analysis.
Ioan Hadade, Team Lead for HPC applications at ECMWF who collected the award, said: “It was fantastic to receive an HPCwire Readers’ Award for the second consecutive year, following last year’s recognition for DestinE’s Climate Digital Twin and its breakthroughs in kilometre-scale modelling on EuroHPC systems. Now, to see our Anemoi framework and the AI workflows we are pioneering on EuroHPC, also in the context of DestinE, acknowledged by our peers in the HPC and AI communities is especially rewarding. This highlights the momentum we are building in advancing weather and climate prediction through innovative technology and collaboration.”
ends
About ECMWF
The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world leader in numerical weather prediction, providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation, ECMWF collaborates internationally to serve its 35 Member and Co-operating States and the wider community with global weather predictions, data, and training. ECMWF’s research and operational center operates 24/7, focusing on medium- and long-range forecasts, and maintains one of the world’s largest meteorological data archives, including ERA5, funded by the EU Copernicus programme.
Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States.
For further information, please contact: pressoffice@ecmwf.int or Lorna Campbell +44 (0)7836 625999.
About HPCwire
HPCwire is a leading news site and weekly newsletter covering the world’s fastest computers and the people who run them. Since 1987, HPCwire has been the trusted source for news, analysis, and community developments in high performance, AI, and data-intensive computing across academia, government, science, and industry. Subscribe at www.hpcwire.com.
ECMWF and the National Meteorological Services across Europe developing Anemoi
Partner
Full name
Country
Website
AEMET
Agencia Estatal de Meteorología
Spain
https://www.aemet.es/
DMI
Danish Meteorological Institute
Denmark
https://www.dmi.dk/
DWD
Deutscher Wetterdienst
Germany
https://www.dwd.de/
FMI
Finnish Meteorological Institute
Finland
https://en.ilmatieteenlaitos.fi/
GeoSphere
GeoSphere Austria
Austria
https://www.geosphere.at/
KNMI
Royal Netherlands Meteorological Institute
Netherlands
https://www.knmi.nl/
Météo-France
French National Meteorological Service
France
https://meteofrance.com/
MeteoSwiss
Federal Office of Meteorology and Climatology MeteoSwiss
Switzerland
https://www.meteoswiss.admin.ch/
MET No
Norwegian Meteorological Institute
Norway
https://www.met.no/
RMI
Royal Meteorological Institute of Belgium
Belgium
https://www.meteo.be/
SMHI
Swedish Meteorological and Hydrological Institute
Sweden
https://www.smhi.se/
UKMO
United Kingdom Met Office
United Kingdom
https://www.metoffice.gov.uk/
END
ECMWF and European Partners win prestigious HPCwire Award for "Best Use Of AI Methods for Augmenting HPC Applications” – for AI innovation in weather and climate
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