[1] WANG Yucheng. Urban thermal environment analysis and energy model coupling with community simulation by applying the modified building land model urban mode(2019).

[2] PIELKE R A. Overlooked issues n the U.S.national climate and IPCC assessments. Clmate Change, 52, 1-11(2002).

[3] HAMDI R, DEGRAUWE D, TERMONIA P. Coupling the Town Energy Balance （TEB） scheme to an operational limited-area NWP model： Evaluation for a highly urbanized area in Belgium. Weather & Forecasting, 27, 323-344(2012).

[4] BALLING R C, BRAZEL S W. High-resolution surface-temperature patterns in a complex urban terrain. Photographic Engineering Remote Sensing, 1289-1298(1988).

[5] LI Xin, YANG Xiu qun, TANG Jianping et al. Multiple Urban heat islands and surface energy balance during summer in Yangtze River Delta city cluster region simulated with WRF/NCAR. Journal of the Meteorological Sciences, 31, 441-450(2011).

[6] ZHOU Mi, CHENG Ming, LAI Anqi et al. Impacts of future landuse on meteorological conditions over the Pearl River Delta Region. China Environmetal Science, 37, 2896-2904(2017).

[7] ZHANG Haoxin, LI Weijing, LI WeiPing. Spatial and temporal distribution characteristics of surface heat fluxes over both Tibet an Plateau and Iranian Plateau in boreal spring and summer and their relationships. Acta Meteorologica Sinica, 75, 260-274(2017).

[8] YAN Renhua, XIONG Heigang, CHEN Xiaofei. Characteristics of land surface energy over： Achnatherum splendens grassland in the oasis-desert ecotone of Northern Piedmont of Tianshan Mountains. Acta Ecologica Sinica, 35, 1350-1358(2015).

[9] WANG Yudong, ZHAO Xiaoyan, XU Xianghua et al. Analysis and in version on surface heat flux with remote sensing in Nanjing area. Ecology and Environmental Sciences, 25, 636-646(2016).

[10] WANG Yu, TANG Li, ZHU Haitao et al. The study of urban thermal environment dynamics and attribution analysis based on multiple remote sensing dataset：In the case of Shenzhen. Acta Ecologica Sinica, 41, 8771-8782(2021).

[11] JIAO Jingjun, XIN Xiaozhou, YU Shanshan et al. Estimation of surface energy balance from HJ-1 satellite data. Journal of Remote Sensing, 18, 1048-1058(2014).

[12] GUO Menghui, JI Ya'nan, KE Yinghai et al. Temporal and spatial evolvement of heat flux in beijing under land use change. Remote Sensing Technology and Application, 35, 1218-1225(2020).

[13] LIU Fengshan, ZHANG He, BAI Huizi et al. The effects of LUCC on surface energy partitioning in Jilin province. Journal of Arid Land Resources and Environment, 30, 113-117(2016).

[14] SHI Yurong. Urban local climate in hot and humid areas based on remote sensing and land surface energy balance(2021).

[15] GRIMMOND C S B, BLACKETT M, BEST M J et al. Initial results from phase 2 of the international urban energy balance model comparison. International Journal of Climatology, 31, 244-272(2011).

[16] CAO Qi, SHI Manjiang, PENG Lijun et al. Study on spatio-temporal conversion characteristics and classification of transformation and utilization of bare land in the process of urbanization in mountainous and Hilly Areas. Resources and Environment in The Yangtze Basin, 28, 1634-1642(2019).

[17] ZHOU Lu, GUO Shizhu. A comparative study of Milton Key-nes New Town in the United Kingdom and Yuelai New Town in Chongqing, 241-249(2021).

[18] QI Feifei, LIU Yongqiang, IMamtimin AL et al. Estimation of surface energy flux using surface energy system（SEBS）in the Tak Lima Kan Desert regions. Journal of Arid Land Resources and Environment, 33, 128-133(2019).

[19] KONDO J. Atmospheric science near the ground surface(2000).

[20] KATO S, YAMAGUCHI Y. Estimation of storage heat flux in an urban area using ASTER data. Remote Sensing of Environment, 110, 1-17(2007).

[21] HOLBEN B N. Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, 1417-1434(1986).

[22] HU Deyong, QIAO Kun, WANG Xingling et al. Land surface temperature retrieval from Landsat 8 thermal infrared data using Mono-window algorithm. Journal of Remote Sensing, 19, 964-977(2015).

[23] XU Hangqiu. Retrieval of the reflectance and land surface temperature of the newly-launched Landsat 8 satellite. Chinese Journal of Geophysics, 58, 741-747(2015).

[24] SOBRINO J A, RAISSOUNI N, ZHALIANG L. A compa-rative study of land surface emissivity retrieval from NOAA data. Remote Sensing of Environment, 75, 256-266(2001).

[25] STATHOPOULOU M, CARTALIS C, PETRAKIS M. Integrating corine land cover data and Landsat TM for surface emissivity definition： Application to the urban area of Athens， Greece. International Journal of Remote Sensing, 28, 3291-3304(2007).

[26] GRIMMOND C. Heat storage in urban areas： Local-scale observations and evaluation of a simple model. Journal of Applied Meteorology, 38, 922-940(1999).

[27] GRIMMOND C. Turbulent heat fluxes in urban areas： Observations and a Local-scale Urban Meteorological Parameterization Scheme（LUMPS）. Journal of Applied Meteorology, 41, 792-810(2002).

[28] GRIMMOND C, BLACKETT M, BEST M et al. The international urban energy balance models comparison project：First results from phase l. Journal of Applied Meteorology and Climatology, 49, 1268-1292(2010).

[29] DEBRUIN HAR, HOLTSLAG A AM. A simple parameterization of the surface fluxes of sensible and latent heat during daytime compared with the Penman-Monteith concept. Journal of Applied Meteorology, 21, 1610-1621(1982).

[30] CUI Yaoping, LIU Jiyuan, HU Yunfeng et al. Modeling the radiation balance of different urban underlying surfaces. Chinese Science Bulletin, 57, 465-473(2012).

[31] LIU Jiahui, ZHAO Xiaofeng, LIN Jianyi. Impact of urban expansion on land surface energy balance： A case study of Xiamen. Environmental Science and Technology, 41, 336-344(2018).

[32] LIU Shoudong, WANG Luyao, HU Ning et al. Spatial and temporal characteristics and influencing factors of sensible heat flux in cities and towns based on LAS observations. Journal of Atmospheric Sciences, 46, 630-640(2023).

[33] WANG Xiuxin, WANG Kaining, WANG Minhua. Impact of change of surface feature coverage on surface water and heat flux in Karst cities. Resources and Environment in the Yangtze River Basin, 30, 956-967(2021).

[34] WANG Hui, ZHANG Lu, SHI XinDong et al. Some new changes of regional climate in the Tibetan Plateau after 2000. Progress in Earth Science, 36, 785-796(2021).