The results of the European project CLINT – CLImate INTelligence, coordinated by Prof. Andrea Castelletti from the Department of Electronics, Information and Bioengineering at the Politecnico di Milano, have been published on CORDIS, the official portal of the European Commission.
The project addressed the challenge of managing extreme climate events by enhancing the role of climate services and leveraging large volumes of data, also thanks to the Copernicus programmes and advances in artificial intelligence.
CLINT developed a framework based on machine learning techniques capable of analyzing complex climate datasets to detect, interpret, and attribute extreme events such as heatwaves, droughts, and tropical cyclones. The system enabled the identification of climate patterns, the validation of cause-and-effect relationships, and the linking of these phenomena to greenhouse gas emissions and other anthropogenic factors.
The project also assessed the socio-economic impacts of extreme events and developed innovative climate services, tested at both European and local levels. The results have been made available according to advanced open data standards, together with demonstrative prototypes to facilitate their use by the scientific community and stakeholders.