5 papers
Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
David Tschan, Zhi Wang, Dominik Strebel +2
Urban heat islands (UHIs) are often accentuated during heat waves (HWs) and pose a public health risk. Mitigating UHIs requires urban planners to first estimate how urban heat is i…
Highly inhomogeneous interactions between background climate and urban warming across typical local climate zones in heatwave and non-heatwave days
Jing Kong, Yongling Zhao, Kai Gao +3
Urban heat island (UHI) in conjunction with heatwave (HW) leads to exacerbation of thermal stress in urban areas. Prior research on UHI and HW has predominantly concentrated on exa…
A WRF-UCM-SOLWEIG framework of 10m resolution to quantify the intra-day impact of urban features on thermal comfort
Xiaotian Ding, Yongling Zhao, Yifan Fan +2
City-scale outdoor thermal comfort diagnostics are essential for understanding actual heat stress. However, previous research primarily focused on the street scale. Here, we presen…
An experimental investigation of the heat and flow features in street canyons: Impacts of the approaching turbulent boundary layer flow
Yunpeng Xue, Yongling Zhao, Shuo-Jun Mei +2
The study of turbulent boundary layer flow holds significant importance in urban climate research, particularly concerning numerical simulation studies where it serves as a crucial…
Using Clustering to Understand Intra-city Warming in Heatwaves: Insights into Paris, Montreal, and Zurich
Yongling Zhao, Dominik Strebel, Dominique Derome +3
We introduce a novel methodological advancement by clustering paired near-surface air temperature with the planetary boundary layer height (PBLH) to characterize intra-city cluster…