Huber, ChristophNagel, TillStuckenschmidt, HeinerFeige, KathrinNsonga, BaldwinRink, Karsten2025-05-262025-05-262025978-3-03868-287-5https://doi.org/10.2312/envirvis.20251149https://diglib.eg.org/handle/10.2312/envirvis20251149Rising urban temperatures and climate variability increasingly affect city residents, yet accessible tools for understanding local climate dynamics remain scarce. This paper presents an interactive visualization of Mannheim's urban microclimate, designed primarily for citizens to explore climate patterns in their neighbourhood. The system is based on a high-resolution, AI-supported climate model that integrates real-time sensor data on temperature, perceived temperature, humidity, wind conditions, and global radiation. To provide intuitive access to climate variability, the visualization presents data for a full summer week, revealing diurnal patterns and variations across different weather conditions. The system aims to balance context and detail and is deployed on an interactive touch-table, complemented by an auxiliary screen in order to display the entire city for an overview, allowing users to focus on selected districts while maintaining comparability and contextualization. By mapping fine-scale climate variations onto familiar administrative units, the tool enables citizens to better understand microclimatic changes and their local implications. This work contributes to environmental visualization by combining geospatial modelling with intuitive visual representations to foster climate literacy and informed urban adaptation strategies. We discuss design choices, user engagement considerations, and the potential for extending the system to predictive modelling and scenario-based exploration.Attribution 4.0 International License10.2312/envirvis.202511497 pages