Air quality modelling & forecasting - In urbanAIR, we will model air quality levels at street-scale and microscale resolutions, as well as other products such as the air pollution vulnerability index.

Knowledge co-production - The tool will be co-developed with air quality and urban planning users.

Stakeholder engagement - During the development of the urbanAIR tool, stakeholder engagement is expected through regular user meetings in our local context or through user committee meetings that combine the expertise of various European cities involved in the project.

Co-evaluation - The tool will also be co-evaluated with the users involved in the development of the tool.

The UrbanAIR project demonstrates the use of a prototype digital twin in the operational environment of the cities of Barcelona, Antwerp, Paris, Bristol, and Rotterdam. It connects mature operational models (used at weather centres) to the recently developed DT of DestinE, establishing new connections to existing technologies on behavioural modelling, uncertainty quantification, and decision analysis. UrbanAIR innovates by uniquely integrating atmospheric models across various spatial scales. Utilizing uncertainty quantification tools, it employs established machine learning and ensemble data-assimilation techniques, along with advanced methods addressing non-linearities in high-resolution atmospheric processes. The convergence of outputs from these physical estimation and simulation tools with behavioural models and decision analysis constitutes a ground-breaking framework.