Climate change is progressing rapidly, leading to more frequent and severe extreme weather events that current models find challenging to predict. The EXPECT project addresses critical gaps in understanding and predicting regional climate changes and extreme weather by using advanced climate model simulations, Earth observations, and machine learning. Addressing these knowledge gaps will provide a solid basis for reliable predictions of climate changes.

This project aims to enable trustworthy assessments and predictions of regional climate changes, including extremes, by developing a prototype operational capability for integrated attribution and prediction. Integrated attribution and prediction involve understanding and explaining the factors driving regional climate changes and extremes, assessing the accuracy of climate models in representing these drivers, and using this knowledge to improve climate predictions for more reliable and useful information. It will also promote collaboration and knowledge-sharing among international research communities, strengthening global efforts to manage and adapt to climate change impacts.