The AIClimate@EU project, funded by the Fund for Bilateral Relations, had as its main objective the integration of Artificial Intelligence (AI) into climate modeling in order to enhance the detection, prediction, and understanding of extreme climate events.
The project brought together experts from the Instituto Dom Luiz of the Faculty of Sciences of the University of Lisbon and OsloMet in Norway, the project’s promoter and partner respectively, to apply AI techniques to improve climate forecasting, making it more accurate and timely.
Key results and achievements include the development of AI-based tools to increase the accuracy of climate models and early warning systems, as well as the strengthening of cooperation between Portuguese and Norwegian research institutions, promoting knowledge sharing on the application of AI in climate science. Noteworthy also are the methodological advances made in the detection and analysis of compound climate events—a critical challenge in climate risk assessment—and the contribution to climate resilience in Europe, supporting smarter, data-driven decision-making.
The outcomes of AIClimate@EU pave the way for future research and innovation in intelligent climate solutions, with a continued commitment to applying the knowledge gained from the project to mitigate climate risks and build a healthier future.
Learn more about the project: https://dhefeus.rd.ciencias.ulisboa.pt/