Climateurope2: Fostering the science-society dialogue
The CLINT project is developing an Artificial Intelligence framework of Machine Learning algorithms to process large climate datasets for improving the detection, causation, and attribution of a series of extreme events.
High resolution climate projections for climate change adaptation
Climate hazards data to prepare financial institutions for the future
The S2S4E project developed an innovative service to improve the management of renewable energy sources with a subseasonal and seasonal forecast based decision support tool
View Project
The CLARA project developed a set of leading edge climate services building upon the newly available Copernicus Climate Change Services