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 |
DOI | 10.1016/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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