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Drivers of the temperature difference between land surface and air temperatures across local climate zones during heatwaves
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DOI：10.1016/j.uclim.2026.103005.png)
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Abstract
En 中文
• Simulated continuous 1-km Ta fields via WRF-UCM under heatwave conditions. • Quantified spatiotemporal LST–Ta differences across diverse LCZs. • Revealed dominant drivers and thresholds via explainable machine learning. • Identified distinct LST–Ta difference patterns using K-means clustering analysis. • Proposed LCZ-specific LST calibration schemes to better approximate Ta.
Keywords:
Heatwaves
LST–Ta difference
Local climate zones
WRF-UCM
Explainable machine learning
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