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UID:pretalx-qgis-uc2026-EULHKR@talks.osgeo.org
DTSTART;TZID=CET:20261006T153000
DTEND;TZID=CET:20261006T160000
DESCRIPTION:Extreme urban heat and wind events increasingly challenge conve
 ntional urban climate assessment tools. While parameterized\, CFD\, and RA
 NS 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-resolu
 tion Large Eddy Simulation (LES) models such as PALM address these process
 es at the urban scale\, but their adoption remains limited due to complex 
 configuration workflows and lack of integration with standard GIS environm
 ents.\n\nThis presentation introduces PalmQ10\, an open-source QGIS-based 
 workflow and plugin concept designed to lower the barrier to entry for PAL
 M simulations. PalmQ10 enables a streamlined\, end-to-end workflow within 
 QGIS\, from defining simulation domains and parameters to automatically ac
 quiring globally available datasets\, preprocessing model inputs\, executi
 ng PALM simulations\, and producing communication-ready maps and graphs. B
 y embedding high-fidelity simulation within a familiar geospatial interfac
 e\, the workflow aims to bridge the gap between advanced atmospheric model
 ing and applied urban policy and planning practices. We present the plugin
  architecture and demonstrate its application through a case study in Ciut
 at Vella (Valencia)\, including initial validation against in-situ tempera
 ture and humidity measurements during extreme heat events.\n\nThe presenta
 tion concludes by outlining the broader vision for PalmQ10 as a platform f
 or reconstructing past extreme events and exploring future urban climate s
 cenarios\, including climate change projections and design interventions s
 uch as modifications to materials\, vegetation\, and built form. Ultimatel
 y\, PalmQ10 leverages the QGIS platform and open-source tools to support m
 ore informed\, spatially explicit decision-making for climate adaptation a
 nd urban resilience.
DTSTAMP:20260724T234915Z
LOCATION:Bridge 1-Short Workshops
SUMMARY:PalmQ10: Bringing High-Fidelity Urban Climate Analysis into QGIS - 
 ADRIANA RAMIREZ CUEBAS
URL:https://talks.osgeo.org/qgis-uc2026/talk/EULHKR/
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