Articles | Volume 24, issue 22
https://doi.org/10.5194/acp-24-12807-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-12807-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Diurnal variation in an amplified canopy urban heat island during heat wave periods in the megacity of Beijing: roles of mountain–valley breeze and urban morphology
Tao Shi
Department of Mathematics and Computer Science, Tongling University, Tongling, 244000, China
Yuanjian Yang
CORRESPONDING AUTHOR
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Ping Qi
Department of Mathematics and Computer Science, Tongling University, Tongling, 244000, China
Simone Lolli
CNR-IMAA, Contrada S. Loja, 85050 Tito Scalo (PZ), Italy
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Cited
17 citations as recorded by crossref.
- Influences of atmospheric circulation and human activities on extreme temperature and extreme precipitation in the Middle and Lower Yangtze River M. Leng et al.
- Urbanization effects on heat waves characterized by high topographic relief in a typical mountainous urban region C. Lei et al.
- Comparative Study of Low-Level Wind Fields Characteristics at Two Critical Locations in the Terminal Area of Plateau Mountain Airports During the Dry-Season Using Coherent Doppler Wind Lidars J. Wu et al.
- The Effect of Modulation of Urban Morphology of Canopy Urban Heat Islands Using Machine Learning: Scale Dependency and Seasonal Dependency T. Shi et al.
- Mapping Heat Vulnerability and Heat Risk for Neighborhood Health Risk Management in Urban Environment? Challenges and Opportunities H. Ho et al.
- SHAP-based comparisons between the street- and roof-level urban heat islands in Seoul, Republic of Korea T. Hong et al.
- Monitoring and determinants analysis of canopy layer urban heat island in China based on both air temperature and apparent temperature Y. Li et al.
- Warm-season non-refractory PM2.5 composition in urban Tianjin and Beijing: Two megacities of the North China Plain Q. Wang et al.
- Analysis of the “South-High North-Low” phenomenon of aerosol distribution and its characteristics in the Beijing plain area J. Su et al.
- Intra-city scale graph neural networks enhance short-term air temperature forecasting H. Wang et al.
- Effects of local mesoscale circulations on PM2.5 and O3 migration and transformation over the riverine and mountainous regions T. Zhou et al.
- Nonlinear drivers of canopy and surface urban heat islands across China’s climate zones: marginal and interaction effects from explainable machine learning C. Wen et al.
- An LCZ-based machine learning framework for revealing spatial heterogeneity of thermal comfort in high-density areas: Enhancing explainability and fine-grid scale resolution S. Zhou et al.
- Correlation and influencing factors of surface urban heat island intensity and atmospheric pollutants in mountainous cities: A case study of Chongqing A. Gou et al.
- Personalized heat stress early warning system for an urban area K. Kacker et al.
- How complex terrains reshape urban wind patterns and cooling effects: Evidence from a high-density weather observation network in Hangzhou Bay, China B. Yu et al.
- Impacts of urban factors on wind-thermal environment under different weather conditions D. Song et al.
17 citations as recorded by crossref.
- Influences of atmospheric circulation and human activities on extreme temperature and extreme precipitation in the Middle and Lower Yangtze River M. Leng et al.
- Urbanization effects on heat waves characterized by high topographic relief in a typical mountainous urban region C. Lei et al.
- Comparative Study of Low-Level Wind Fields Characteristics at Two Critical Locations in the Terminal Area of Plateau Mountain Airports During the Dry-Season Using Coherent Doppler Wind Lidars J. Wu et al.
- The Effect of Modulation of Urban Morphology of Canopy Urban Heat Islands Using Machine Learning: Scale Dependency and Seasonal Dependency T. Shi et al.
- Mapping Heat Vulnerability and Heat Risk for Neighborhood Health Risk Management in Urban Environment? Challenges and Opportunities H. Ho et al.
- SHAP-based comparisons between the street- and roof-level urban heat islands in Seoul, Republic of Korea T. Hong et al.
- Monitoring and determinants analysis of canopy layer urban heat island in China based on both air temperature and apparent temperature Y. Li et al.
- Warm-season non-refractory PM2.5 composition in urban Tianjin and Beijing: Two megacities of the North China Plain Q. Wang et al.
- Analysis of the “South-High North-Low” phenomenon of aerosol distribution and its characteristics in the Beijing plain area J. Su et al.
- Intra-city scale graph neural networks enhance short-term air temperature forecasting H. Wang et al.
- Effects of local mesoscale circulations on PM2.5 and O3 migration and transformation over the riverine and mountainous regions T. Zhou et al.
- Nonlinear drivers of canopy and surface urban heat islands across China’s climate zones: marginal and interaction effects from explainable machine learning C. Wen et al.
- An LCZ-based machine learning framework for revealing spatial heterogeneity of thermal comfort in high-density areas: Enhancing explainability and fine-grid scale resolution S. Zhou et al.
- Correlation and influencing factors of surface urban heat island intensity and atmospheric pollutants in mountainous cities: A case study of Chongqing A. Gou et al.
- Personalized heat stress early warning system for an urban area K. Kacker et al.
- How complex terrains reshape urban wind patterns and cooling effects: Evidence from a high-density weather observation network in Hangzhou Bay, China B. Yu et al.
- Impacts of urban factors on wind-thermal environment under different weather conditions D. Song et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
This paper explored the formation mechanisms of the amplified canopy urban heat island intensity (ΔCUHII) during heat wave (HW) periods in the megacity of Beijing from the perspectives of mountain–valley breeze and urban morphology. During the mountain breeze phase, high-rise buildings with lower sky view factors (SVFs) had a pronounced effect on the ΔCUHII. During the valley breeze phase, high-rise buildings exerted a dual influence on the ΔCUHII.
This paper explored the formation mechanisms of the amplified canopy urban heat island intensity...
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