From modeling representative mesoscale weather types to a sidewalk-level thermal comfort assessment ready for climate action

Urban adaptation to climate change requires outdoor thermal comfort diagnostics that capture fine-scale spatial heterogeneity of cities while remaining operational for planners. This study proposes a semi-automated, multiscale workflow that couples Local Weather Types with the UrbClim model to translate mesoscale atmospheric conditions (100 m resolution) into microscale insights (1 m resolution). The workflow characterizes the study area's summer climatology through LWT, identifying a representative, typical and extreme day used to drive UrbClim. Automated preprocessing integrates land cover, building heights and planned 2030 developments into standardized rasters, while automated post-processing generates spatially explicit Wet Bulb Globe Temperature (WBGT) and a Surface Index for Urban Thermal Prioritization. Two simulations are conducted at sidewalk level, representing the 2030 city under the current climate and the SSP2–4.5 mid-century climate. Results show the proportion of public space that remains below or above heat hazard during the central hours and provide the index that ranks neighborhoods by intervention needs using nature-based solutions. The approach provides an operational framework for climateinformed urban planning, demonstrating how multiscale integration can support resilience policies in a climatic emergency context.