The WeatherGenerator project officially launched on February 5, 2025. The ambitious project, involving CMCC as one of the key partners, aims to transform weather and climate prediction capabilities, utilizing state-of-the-art AI and machine learning to create a cutting-edge European foundation model for Earth system science. Combining advanced machine learning techniques with high-performance computing, the project offers innovative solutions for both scientific research and real-world applications.

CMCC joins WeatherGenerator,  a EU Horizon project, in an effort to further develop machine learning techniques for weather forecasting and Earth system process modelling. The primary goals of the project are to significantly enhance weather and climate predictions, optimize renewable energy planning, and provide better tools for mitigating the effects of extreme weather events, such as floods and heatwaves. By combining advanced machine learning techniques with high-performance computing, it offers innovative solutions for both scientific research and real-world applications, benefiting sectors like renewable energy development, disaster management, and public health.

The WeatherGenerator project brings together 16 leading European institutions, including top universities, research centers, meteorological institutes, and energy organizations, including CMCC. Coordinated by the European Centre for Medium-Range Weather Forecasting (ECMWF) – a 24/7 research and operational centre focused on advancing science to improve weather predictions – the project includes key partners and several cutting-edge energy and technology firms.

“We are delighted that this project will bring 16 leading organisations together to build a new cutting-edge machine learning tool to enhance weather and climate prediction. The WeatherGenerator will provide more accurate, cost-effective simulations of Earth system dynamics, contributing to a deeper understanding of how weather and climate events unfold and better representation and prediction of extreme events across various timescales. These advancements will enable more efficient planning and resource allocation, particularly in areas crucial to Europe’s climate resilience,” says project coordinator Peter Dueben, head of Earth system modelling at ECMWF.

By combining expertise from Earth system science, artificial intelligence, climate research, and energy sectors, CMCC will be contributing to the advancement of weather and climate prediction, whilst reinforcing Europe’s leadership in AI-driven climate solutions.

Key Objectives:

•   Develop a state-of-the-art AI model for simulating Earth system dynamics.
•   Enhance predictions for weather and climate events across various timescales.
•   Deepen our understanding of Earth system dynamics, enabling better insights into climate processes and interactions.
•   Support disaster response efforts with more accurate predictions for extreme events like floods, heatwaves, and storms.
•   Provide open-source tools and data, promoting transparency and collaboration in climate research.
•   Train the next generation of AI experts specialized in Earth sciences to ensure the long-term impact of the project.

For more information:

Visit the ECMWF website.