DMI Partners With Gefion Supercomputer To Develop Next-Generation AI Models For Weather Forecasting

The Danish Meteorological Institute (DMI) has partnered with the Danish Centre for AI Innovation A/S (DCAI) to develop advanced artificial intelligence models for weather forecasting using Denmark’s powerful Gefion supercomputer. Following a successful pilot project, DMI and DCAI have entered a three-year agreement to refine these capabilities, which promise improved emergency response planning and support for green energy initiatives like solar power. This collaboration represents a significant advancement in applying AI technology to meteorology.

The Danish Centre for AI Innovation (DCAI) has entered into a multi-year agreement with the Danish Meteorological Institute (DMI), marking a significant step in advancing AI-driven weather forecasting. This collaboration leverages the powerful Gefion supercomputer, enabling DMI and DCAI to develop next-generation AI models tailored for meteorological applications.

The partnership builds on a successful pilot project demonstrating AI models’ efficiency. These models reduced computation time from hours to minutes while maintaining accuracy comparable to traditional methods in key areas such as temperature and wind prediction. This efficiency underscores AI’s potential to revolutionize weather forecasting processes.

Over the next three years, the collaboration aims to refine existing AI models and expand their capabilities to incorporate additional variables like precipitation patterns and uncertainty estimation. These advancements will enhance the precision and reliability of weather forecasts, providing critical support for various sectors reliant on accurate meteorological data.

Gefion’s state-of-the-art infrastructure, featuring 1,528 NVIDIA H100 Tensor Core GPUs, offers unparalleled computational power, positioning Denmark as a leader in AI research. This partnership not only strengthens national expertise in artificial intelligence but also fosters a collaborative environment for innovation, benefiting both public and private sectors.

Through this initiative, DCAI and DMI are poised to make substantial contributions to the field of meteorology, leveraging cutting-edge technology to address complex challenges and improve weather prediction accuracy.

The pilot project demonstrated that AI models significantly reduced computation time for key forecasting tasks, such as temperature and wind prediction while maintaining comparable accuracy. This efficiency highlights the potential of AI-driven approaches to improve scalability and operational effectiveness in weather modeling.

These advancements will enhance forecast precision and provide critical support for sectors reliant on accurate meteorological data, including disaster preparedness and agricultural planning. By leveraging advanced computing resources, DCAI and DMI aim to address complex challenges in weather prediction, contributing to more reliable forecasting systems that benefit both public and private sectors.

Over the next three years, DMI plans to refine these AI models and expand their scope to include additional variables, such as precipitation patterns and uncertainty estimation. These advancements will enhance forecast precision and support critical applications across various industries.