Advanced AI framework for extreme climate events detection

The CLINT project aims to develop an advanced AI-based framework capable of processing large-scale climate datasets to enhance the detection and attribution of extreme events.

By integrating historical, forecasted, and projected climate data, the framework will also assess the impacts of extreme events across various socio-economic sectors. The ultimate goal is to provide actionable insights and tools for public and private stakeholders, supporting the development of next-generation climate services.

As a key partner, Ricardo's experts are responsible for enhancing the PRIMES model suite to simulate the impacts of extreme climate events on the energy system. This includes adapting the model architecture to capture disruptions and shifts in energy demand, supply, and infrastructure resilience. E3M also collaborates with institutions specializing in extreme event forecasting to align modelling improvements with the latest scientific data, enabling the delivery of robust policy advice and strategic consulting to both governmental bodies and private sector clients.