Extreme urban heat and wind events increasingly challenge conventional urban climate assessment tools. While parameterized, CFD, and RANS models are effective for routine analysis and design comparison, short-duration, high-risk events require explicit representation of turbulence, radiation, and interactions with complex urban morphology. High-resolution Large Eddy Simulation (LES) models such as PALM address these processes at the urban scale, but their adoption remains limited due to complex configuration workflows and lack of integration with standard GIS environments.

This presentation introduces PalmQ10, an open-source QGIS-based workflow and plugin concept designed to lower the barrier to entry for PALM simulations. PalmQ10 enables a streamlined, end-to-end workflow within QGIS, from defining simulation domains and parameters to automatically acquiring globally available datasets, preprocessing model inputs, executing PALM simulations, and producing communication-ready maps and graphs. By embedding high-fidelity simulation within a familiar geospatial interface, the workflow aims to bridge the gap between advanced atmospheric modeling and applied urban policy and planning practices. We present the plugin architecture and demonstrate its application through a case study in Ciutat Vella (Valencia), including initial validation against in-situ temperature and humidity measurements during extreme heat events.

The presentation concludes by outlining the broader vision for PalmQ10 as a platform for reconstructing past extreme events and exploring future urban climate scenarios, including climate change projections and design interventions such as modifications to materials, vegetation, and built form. Ultimately, PalmQ10 leverages the QGIS platform and open-source tools to support more informed, spatially explicit decision-making for climate adaptation and urban resilience.