ECMWF, together with several National Meteorological Services across Europe, has been awarded the 2025 HPCwire Readers’ and Editors’ Choice Award for “Best Use of AI Methods for Augmenting HPC Applications”.
The award recognises the work of Anemoi, a portable, scalable open-source framework developed by ECMWF and partners for building and running the next generation of artificial intelligence (AI)-driven weather and climate applications.
Anemoi enables the efficient creation of AI-ready datasets and supports model training and inference across diverse high-performance computing (HPC) architectures, including EuroHPC systems such as LUMI, MareNostrum 5, Leonardo, and MeluXina. This innovation already powers a range of AI weather and Earth system models, including those developed within the EU’s Destination Earth (DestinE) initiative to support climate adaptation and resilience.
“Alongside our collaborators from National Meteorological 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 Matthew Chantry, Strategic Lead for Machine Learning at ECMWF.
The award was presented at the 2025 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25), in St. Louis, Missouri.
The HPCwire award adds to a growing list of recognition of the work ECMWF and partners on AI and digital technologies in different initiatives. Recent accolades include the EMS Technology Achievement Award 2025 for Anemoi; two HPCwire Readers’ Choice Awards in 2024 for DestinE’s Climate Adaptation Digital Twin (Climate DT); and the shortlisting of the Climate DT for the ACM Gordon Bell Prize 2025. Together they underline Europe’s leadership in combining HPC and AI for weather and climate.
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 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.”
The annual HPCwire Readers’ and Editors’ Choice Awards celebrate the most significant breakthroughs in HPC with awards nominated and voted on by both the global HPC community and HPCwire editors.
The full list of 2025 HPCwire award winners is available on the HPCwire website.
About Anemoi
Anemoi is a Python-based open-source framework. It comprises an ecosystem of Python packages, covering the full life cycle of data-driven modelling. These Python packages each address a crucial aspect of the AIe weather forecasting pipeline.
The Anemoi collaboration brings together ECMWF and National Meteorological Services from across Europe: the Spanish State Meteorological Agency (AEMET), the Danish Meteorological Institute (DMI), the German National Meteorological Service (DWD), the Finnish Meteorological Institute (FMI), GeoSphere, the Royal Netherlands Meteorological Institute (KNMI), Météo-France, MeteoSwiss, Met Norway, Belgium’s Royal Meteorological Institute (RMI), The Swedish Meteorological and Hydrological Institute (SMHI) and UK Met Office.