气候变化领域集成服务门户(CCPortal): Improving the WRF/urban modeling system in China by developing a national urban dataset

CCPortal

DOI	10.1016/j.gsf.2022.101385
	Improving the WRF/urban modeling system in China by developing a national urban dataset
	Li, Huidong; Yuan, Fenghui; Shen, Lidu; Liu, Yage; Zheng, Zhonghua; Zhou, Xu
通讯作者	Li, HD (通讯作者)
发表日期	2022
ISSN	1674-9871
卷号	13 期号:4
英文摘要	Accurate modeling of urban climate is essential to predict potential environmental risks in cities. Urban datasets, such as urban land use and urban canopy parameters (UCPs), are key input data for urban climate models and largely affect their performance. However, access to reliable urban datasets is a challenge, especially in fast urbanizing countries. In this study, we developed a high-resolution national urban dataset in China (NUDC) for the WRF/urban modeling system and evaluated its effect on urban climate modeling. Specifically, an optimization method based on building morphology was proposed to classify urban land use types. The key UCPs, including building height and width, street width, surface imperviousness, and anthropogenic heat flux, were calculated for both single-layer Urban Canopy Model (UCM) and multiple-layer Building Energy Parameterization (BEP). The results show that the derived morphological-based urban land use classification could better reflect the urban characteristics, compared to the socioeconomic-function-based classification. The UCPs varied largely in spatial within and across the cities. The integration of the developed urban land use and UCPs datasets significantly improved the representation of urban canopy characteristics, contributing to a more accurate modeling of near-surface air temperature, humidity, and wind in urban areas. The UCM performed better in the modeling of air temperature and humidity, while the BEP performed better in the modeling of wind speed. The newly developed NUDC can advance the study of urban climate and improve the prediction of potential urban environmental risks in China. (C) 2022 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.
关键词	LOCAL CLIMATE ZONES HEAT-ISLAND TURBULENCE IMPACTS TEMPERATURE SIMULATION CONVECTION PARAMETERS DATABASE ENERGY
英文关键词	Urban climate modeling; UCM; BEP; Urban land use; Urban canopy parameter; Chinese cities
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000788081200005
来源期刊	GEOSCIENCE FRONTIERS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260595
推荐引用方式 GB/T 7714	Li, Huidong,Yuan, Fenghui,Shen, Lidu,et al. Improving the WRF/urban modeling system in China by developing a national urban dataset[J]. 中国科学院青藏高原研究所,2022,13(4).
APA	Li, Huidong,Yuan, Fenghui,Shen, Lidu,Liu, Yage,Zheng, Zhonghua,&Zhou, Xu.(2022).Improving the WRF/urban modeling system in China by developing a national urban dataset.GEOSCIENCE FRONTIERS,13(4).
MLA	Li, Huidong,et al."Improving the WRF/urban modeling system in China by developing a national urban dataset".GEOSCIENCE FRONTIERS 13.4(2022).