气候变化领域集成服务门户(CCPortal): Urbanization effects on estimates of global trends in mean and extreme air temperature

CCPortal

DOI	10.1175/JCLI-D-20-0389.1
	Urbanization effects on estimates of global trends in mean and extreme air temperature
	Zhang P.; Ren G.; Qin Y.; Zhai Y.; Zhai T.; Tysa S.K.; Xue X.; Yang G.; Sun X.
发表日期	2021
ISSN	08948755
起始页码	1923
结束页码	1945
卷号	34 期号:5
英文摘要	Identifying and separating the signal of urbanization effects in current temperature data series is essential for accurately detecting, attributing, and projecting mean and extreme temperature change on varied spatial scales. This paper proposes a new method based on machine learning to classify the observational stations into rural stations and urban stations. Based on the classification of rural and urban stations, the global and regional land annual mean and extreme temperature indices series over 1951-2018 for all stations and rural stations were calculated, and the urbanization effects and the urbanization contribution of global land annual mean and extreme temperature indices series are quantitatively evaluated using the difference series between all stations and the rural stations. The results showed that the global land annual mean time series for mean temperature and most extreme temperature indices experienced statistically significant urbanization effects. The urbanization effects in the mean and extreme temperature indices series generally occurred after the mid-1980s, and there were significant differences of the magnitudes of urbanization effects among different regions. The urbanization effect on the trends of annual mean and extreme temperature indices series in East Asia is generally the strongest, which is consistent with the rapidly urbanization process in the region over the past decades, but it is generally small in Europe during the recent decades. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词	Algorithms; Climate change; Climate variability; Machine learning; Surface temperature; Trends
语种	英语
scopus关键词	Climate models; Climatology; Air temperature; Extreme temperature indices; Extreme temperatures; Mean temperature; Rural and urban; Rural stations; Temperature data; Urban stations; Atmospheric temperature; air temperature; algorithm; climate modeling; machine learning; regional climate; surface temperature; trend analysis; urbanization; Far East
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178691
作者单位	Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China; Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China; School of Geography and Information Engineering, China University of Geosciences, Wuhan, China; School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
推荐引用方式 GB/T 7714	Zhang P.,Ren G.,Qin Y.,et al. Urbanization effects on estimates of global trends in mean and extreme air temperature[J],2021,34(5).
APA	Zhang P..,Ren G..,Qin Y..,Zhai Y..,Zhai T..,...&Sun X..(2021).Urbanization effects on estimates of global trends in mean and extreme air temperature.Journal of Climate,34(5).
MLA	Zhang P.,et al."Urbanization effects on estimates of global trends in mean and extreme air temperature".Journal of Climate 34.5(2021).