Meteorological controls on daily variations of nighttime surface urban heat islands
Lai, Jiameng1; Zhan, Wenfeng1,10; Voogt, James2; Quan, Jinling8; Huang, Fan1; Zhou, Ji7; Bechtel, Benjamin6; Hu, Leiqiu5; Wang, Kaicun4; Cao, Chang3
刊名REMOTE SENSING OF ENVIRONMENT
2021-02-01
卷号253页码:15
关键词Surface urban heat island Land surface temperature Weather conditions Remote sensing Gaussian model MODIS
ISSN号0034-4257
DOI10.1016/j.rse.2020.112198
通讯作者Zhan, Wenfeng(zhanwenfeng@nju.edu.cn)
英文摘要Most previous studies of surface urban heat islands (SUHIs) have focused solely on their controlling factors on a seasonal/annual timescale, while the controls on daily variations are largely unknown. By extracting the daily variations of nighttime SUHI features using the Gaussian model and investigating their correlations with various explanatory factors, we have attempted to determine the controls on SUHIs on a daily-basis over Chinese cities. Specific controls of weather conditions on the intensity, extent, shape, and centroid of the SUHIs were identified. Our results show that: (1) SUHI intensity (SUHII) was considerably more sensitive to weather conditions than the SUHI footprint (i.e., extent, shape, and centroid). (2) Meteorological variables including relative humidity, accumulated precipitation, and aerosol optical depth, had the greatest impact on SUHI intensity; whereas factors related to temperature fluctuations (day-to-day fluctuations of surface and air temperature) were the main factors influencing SUHI extent, shape, and the direction in which SUHI centroid varies. (3) Antecedent precipitation substantially impacted the subsequent SUHIs under clear-skies, changing both the SUHI itself and its sensitivity to other factors. Typically, the clear-sky SUHIs directly following rainfall showed a higher dependence on the relative humidity, soil moisture and aerosol, but were less affected by wind. (4) The meteorological contributions to the daily nighttime SUHIIs varied among Chinese cities with different bioclimatic conditions. In general, they were stronger in temperate zones than in subtropical zones. Our results provide an improved understanding of the controls on SUHIs on a daily timescale, as well as a foundation for predicting daily SUHIs based on the influencing meteorological variables.
资助项目National Key R&D Program of China[2017YFA0603604] ; Jiangsu Provincial Natural Science Foundation[BK20180009] ; National Natural Science Foundation of China[41671420] ; Fundamental Research Funds for the Central Universities[090414380024] ; Jiangsu Provincial Graduate Research and Innovation Project[KYCX19_0036] ; Cluster of Excellence 'CliSAP' (EXC177), University of Hamburg through the German Science Foundation (DFG) ; National Youth Talent Support Program of China
WOS关键词TEMPORAL TRENDS ; INDICATORS ; PATTERNS ; CITIES ; IMPACT ; AREA
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000604324900002
资助机构National Key R&D Program of China ; Jiangsu Provincial Natural Science Foundation ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Jiangsu Provincial Graduate Research and Innovation Project ; Cluster of Excellence 'CliSAP' (EXC177), University of Hamburg through the German Science Foundation (DFG) ; National Youth Talent Support Program of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/136579]  
专题中国科学院地理科学与资源研究所
通讯作者Zhan, Wenfeng
作者单位1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China
2.Univ Western Ontario, Dept Geog, London, ON N6A 5C2, Canada
3.Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Nanjing 210044, Jiangsu, Peoples R China
4.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
5.Univ Alabama, Dept Atmospher Sci, Huntsville, AL 35899 USA
6.Ruhr Univ Bochum, Dept Geog, D-44801 Bochum, Germany
7.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
9.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA
10.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714
Lai, Jiameng,Zhan, Wenfeng,Voogt, James,et al. Meteorological controls on daily variations of nighttime surface urban heat islands[J]. REMOTE SENSING OF ENVIRONMENT,2021,253:15.
APA Lai, Jiameng.,Zhan, Wenfeng.,Voogt, James.,Quan, Jinling.,Huang, Fan.,...&Lee, Xuhui.(2021).Meteorological controls on daily variations of nighttime surface urban heat islands.REMOTE SENSING OF ENVIRONMENT,253,15.
MLA Lai, Jiameng,et al."Meteorological controls on daily variations of nighttime surface urban heat islands".REMOTE SENSING OF ENVIRONMENT 253(2021):15.
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