Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China

	Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China
	Lin, Shan 1; Feng, Jinming 1; Wang, Jun 1; Hu, Yonghong 1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2016
卷号	121 期号:4 页码:1683-1697
关键词	SENSITIVITY-ANALYSIS SATELLITE IMAGERY SHADOW DETECTION NEURAL-NETWORK AVHRR DATA COVER MODEL CLASSIFICATION VALIDATION SIMULATION
通讯作者	Feng, JM (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing, Peoples R China.
英文摘要	This study simulated the effects of changes in the underlying surface induced by long-term urbanization on trends in surface air temperature (SAT) over three extensive urban agglomerations (Beijing-Tianjin-Hebei, BTH; the Yangtze River Delta, YRD; and the Pearl River Delta, PRD) in China during 1980-2009. To isolate the effects of continuous urban expansion on SAT with the least computation cost, we employed the Community Land Model (CLM4.5) in an off-line mode for a relatively long period. Based on a high-quality land use data set dating back to the 1980s, two scenarios were designed to represent the distributions of both nonurban and historically urban land use. By comparing the results of two numerical experiments, urban-induced warming in daily mean SAT (T-mean) over the three urban agglomerations, BTH, YRD, and PRD, were found to be 0.13 degrees C/30yrs, 0.12 degrees C/30yrs, and 0.09 degrees C/30yrs, contributing about 9.70%, 10.3%, and 9.68% to the mean long-term SAT trends, respectively. In addition, a higher contribution of urban-related warming was found in winter for BTH and in summer for the other two regions. However, urban-related warming had no significant effect on the trends of daily maximum SAT (T-max) when compared with daily minimum SAT (T-min). Specifically, at a local scale, the contributions of urban warming to the background warming in three representative cities, Beijing, Shanghai, and Guangzhou, were 12.7%, 29.0%, and 23.6%, respectively.
学科主题	Meteorology & Atmospheric Sciences
类目[WOS]	Meteorology & Atmospheric Sciences
收录类别	SCI
语种	英语
WOS记录号	WOS:000372977900020
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39490]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Lin, Shan,Feng, Jinming,Wang, Jun,et al. Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(4):1683-1697.
APA	Lin, Shan,Feng, Jinming,Wang, Jun,&Hu, Yonghong.(2016).Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(4),1683-1697.
MLA	Lin, Shan,et al."Modeling the contribution of long-term urbanization to temperature increase in three extensive urban agglomerations in China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.4(2016):1683-1697.