DMI to use Gefion supercomputer in multi-year agreement to develop next-generation AI models for weather forecasting

COPENHAGEN, Denmark, March 17, 2025 /PRNewswire/ -- The Danish Centre for AI Innovation A/S (DCAI) is excited to announce a multi-year agreement with the Danish Meteorological Institute (DMI) to develop the next generation of weather models on Gefion. The agreement follows breakthrough results in a recent pilot project, which demonstrated that new AI-powered models trained on Denmark's AI supercomputer Gefion approach the accuracy of DMI's long-standing model in predicting temperature and wind while significantly improving efficiency — running in minutes rather than hours. 

A specialized team of researchers at the Danish Meteorological Institute (DMI) has, within a few months, developed a regional AI weather model using the Gefion supercomputer. This new model is competitive with an internationally developed weather model in key parameters such as temperature and wind predictions. 

The existing weather model is based on physical equations. Using an initial set of observations, it calculates how the weather will progress. This weather model has been under international development for over 20 years, whereas the new AI model has been trained on a large dataset for just a few months. 

The AI model requires only a fraction of the computing power and takes minutes to run, compared to the traditional model, which takes several hours to compute. Preliminary results show that in addition to being more efficient, the new AI weather model approaches the accuracy of the current model in predicting temperature and wind conditions. 

This promising outcome has paved the way for a three-year agreement between the Danish Centre for AI Innovation (DCAI), the company operating the AI supercomputer Gefion, and DMI, with a goal of advancing next-generation AI weather models.  

"The pilot project has shown that DMI can leverage AI very quickly and efficiently. We have several AI models in our pipeline for predicting precipitation and cloud cover, which will directly benefit from the experience we have gained in just a few months," says DMI meteorologist Kasper Hintz. 

"The collaboration between DCAI and DMI marks a significant step forward in the application of AI to the very important field of meteorology," says Nadia Carlsten, CEO of the Danish Centre for AI Innovation.

"With AI supercomputing, we are unlocking new opportunities for weather forecasting, and DMI's groundbreaking work is already demonstrating how impactful this technology can be, including for sustainability," she adds.