A downscaling framework with WRF-UCM and LES/RANS models for urban microclimate simulation strategy: Validation through both measurement and mechanism model

文献类型： 外文期刊

第一作者： Liu, Jiawen

作者： Liu, Jiawen;Gao, Huan;Jia, Ruoyu;Qiao, Zhi;Wang, Ran;Han, Dongrui;Liu, Luo;Xu, Xinliang

作者机构：

关键词： Urban microclimate simulation; One-way downscaling method; WRF-UCM model; ENVI-met; PALM-4U; The two-resistance mechanism (TRM) model

期刊名称：BUILDING AND ENVIRONMENT （ 影响因子：7.6； 五年影响因子：7.9 ）

ISSN： 0360-1323

年卷期： 2025 年 269 卷

页码：

收录情况： SCI

摘要： Microscale numerical simulation models are widely applied to explore potential factors and adaptive strategies for localized high temperatures in urban surface or near-surface environments. However, few studies address the limited availability of meteorological input data and the use of multiple meteorological outputs to investigate the mechanisms between factors as a theoretical verification for simulation. This study used the WRF-UCM model outputs in Tianjin, China, as the basic background meteorological field for microclimate simulation and compared the improvement in simulation accuracy of LES-based scheme (PALM-4U) and RANS-based software (ENVI-met) in predicting pedestrian-level air temperature and relative humidity during the downscaling simulation. Subsequently, attribution analysis of land surface temperature imbalance is performed using the tworesistance model (TRM) based on surface and atmospheric simulation outputs which also aids in verifying the applicability of the one-way downscaling simulation framework. It is found that the WRF-UCM-RANS framework exhibits superior overall performance, reducing the error in 2-m height relative humidity by approximately 50 % at the same location compared to mesoscale results. The attribution results indicate that localized high temperature on impervious surfaces within urban neighborhood are primarily driven by surface resistance (rs) during the daytime heating process and ground heat storage (G) during nighttime cooling. However, surface resistance (rs) remains the dominant driving factor influencing land surface temperature throughout both daytime and nighttime. The framework reduces the challenge of obtaining initial meteorological data and provides technical support for expanding microclimate research to multi-site simulations and future scenario predictions in complex urban environment.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序