SMART-TWIN

Climate resilience is becoming increasingly important in modern urban planning, particularly due to the need to adapt to extreme weather events, reduce risks, and implement ecosystem-based approaches—whose implementation often fails because of a lack of planning tools and resources. SMART-TWIN aims to create an innovative AI city planning tool for the city of Würzburg. This tool builds on the urban climate model Palm4U and the exisinting Digital Twin for the City of Würzburg to increase urban climate resilience by facilitating time- and cost-efficient, flexible and user-friendly access to urban climate assessments and land-use planning. Würzburg is considered a hotspot of climate change in Central Europe and shows a pronounced hear island effect. We use Würzburg as pilot for the SMART-TWIN planning tool, but we plan to make it available to other Bavarian cities that have enough data available. SMART-TWIN builds on our existing cooperation with the Heiko Paeth, professor for climatology, at the university of Würzburg. The Chair for Data Science will use AI, big data technologies, and a novel combination of scenario layers in the digital twin, real or potential construction measures as well as changes to green and blue infrastructure can be evaluated with regard to their impacts on the urban climate under different (extreme) weather conditions in both the present and the future. We focus specifically on using physics-informed AI and Statistical Downscaling models to shorten the sigificant simulation times of the urban climate model Palm4U.