环境科学
天气研究与预报模式
城市热岛
特大城市
风速
显热
潜热
白天
气象学
大气科学
城市蔓延
土地覆盖
城市气候学
数据同化
城市气候
气候学
城市规划
土地利用
地理
地质学
生物
工程类
经济
土木工程
经济
生态学
作者
Jie Wang,Shiguang Miao,Quang‐Van Doan,Fei Chen,Ronnie Abolafia‐Rosenzweig,Long Yang,Guwei Zhang,Yizhou Zhang,Jingjing Dou,Youpeng Xu
摘要
Abstract Detailed urban information, including land use/land cover (LULC), anthropogenic heat (AH) release, and urban canopy parameters (UCP), play critical roles in meteorological field simulations. It is particularly relevant for the Weather Research and Forecasting (WRF) model coupled with the single‐layer urban canopy model (SLUCM). Thus, we develop high‐resolution LULC, AH, and UCP data sets for Nanjing, a megacity in China, and conduct a series of numerical experiments with WRF/SLUCM to evaluate the impacts of urban parameters on the urban thermal environment. Model simulations with LULC scenarios have good agreement with the observed 2‐m temperature with a correlation coefficient of around 0.85, and present strong spatial homogeneity due to the more realistic representation of urban categories. The LULC change directly decreases the surface wind speed and increases (decreases) the sensible (latent) heat flux ( ( )) in urban areas during the daytime; meanwhile increases and releases ground heat storage ( ) during the nighttime, resulting in urban warming by 0.91°C in urban areas, compared with the control simulation (CTL) that does not take into account urban surfaces. In the LULC experiments combined with the UCP or AH, the UCP change enhances and releases more during nighttime, which increases by 0.13°C relative to LULC simulation. Also, the UCP effect reduces surface roughness and increases the width of the urban canopy, resulting in slightly enhanced wind speed, which is favorable for a warming environment in the urban area; the AH change contributes to increasing by 0.19°C through directly enhancing relative to LULC simulation. AH combined with the UCP further strengthens the UCP effect in the urban area. Overall, the influence of urban parameters on the is more pronounced during nighttime than daytime, which presents a decreasing trend with an increase in wind speed and spatial humidity in the urban area.
科研通智能强力驱动
Strongly Powered by AbleSci AI