(1) Significance and Robustness of Climate Change Signals for Extreme Indices over Germany in a Convection-permitting Climate Model Ensemble (2) tbd (3) Extreme fire weather in a changing climate: Projections for Europe based on bias adjusted EURO-CORDEX simulations (4) Near-real-time probabilistic Hail Detection based on polarimetric radar quantities and environmental conditions using machine learning methods

Extreme heat has wide-ranging impacts on human health, performance, and well-being. Outdoor thermal exposure is shaped by the complex interplay between urban infrastructure and micro- to global-scale climates—interactions that must be understood to effectively mitigate heat in cities. Phoenix, Arizona, with its hot, dry climate, serves as a living laboratory where cooling strategies can be tested in real-world urban environments. This presentation highlights recent research from the SHaDE Lab at Arizona State University on heat mitigation strategies such as trees, engineered shade, and cool pavements. These solutions are evaluated through a combination of field measurements, microclimate simulations, and community-based experiments. Novel sensing techniques capture how heat is experienced at the human scale, including MaRTy (a mobile biometeorological platform that can sense how pedestrians experience heat), MaRTinies (low-cost IoT sensors), and the thermal manikin ANDI, which simulates human thermoregulation under heat stress. Complementary modeling approaches help quantify and optimize shade distribution and predict thermal comfort outcomes. Together, these methods provide a comprehensive understanding of urban heat and inform practical strategies for designing cooler, healthier cities.

(1) tbd (2) tbd (3) tbd (4)  Evaluation of AI Weather Models for Sub-seasonal Forecasts