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Optimized LCZ mapping with automated machine learning reveals thermal disparities during a heatwave event
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DOI：10.1016/j.uclim.2026.103001.png)
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Abstract
En 中文
• An AutoML approach refines the WUDAPT framework with locally optimized LCZ maps. • The method delivers higher LCZ classification accuracy than the WUDAPT LCZ Generator. • Locally optimized LCZ maps improve Greater Manchester (GM) climate simulations. • Optimized LCZ-based simulation in GM reveals 1.8M extra person-hours of heat stress.
Keywords:
Local climate zone
Machine learning
Urban climate
Numerical simulation
Urban heat
Climate responsive planning
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