Assessment of Surface Urban Heat Islands over Three Megacities in East Asia Using Land Surface Temperature Data Retrieved from COMS

Abstract: Surface urban heat island (SUHI) impacts control the exchange of sensible heat and latent heat between land and atmosphere and can worsen extreme climate events, such as heat waves. This study assessed SUHIs over three megacities (Seoul, Tokyo, Beijing) in East Asia using one-year (April 2011–March 2012) land surface temperature (LST) data retrieved from the Communication, Ocean and Meteorological Satellite (COMS). The spatio-temporal variations of SUHI and the relationship between SUHI and vegetation activity were analyzed using hourly cloud-free LST data. In general, the LST was higher in low latitudes, low altitudes, urban areas and dry regions compared to high latitudes, high altitudes, rural areas and vegetated areas. In particular, the LST over the three megacities was always higher than that in the surrounding rural areas. The SUHI showed a maximum intensity (10–13 °C) at noon during the summer, irrespective of the geographic location of the city, but weak intensities (4–7 °C) were observed during other times and seasons. In general, the SUHI intensity over the three megacities showed strong seasonal (diurnal) variations during the daytime (summer) and weak seasonal (diurnal) variations during the nighttime (other seasons). As a result, the temporal variation pattern of SUHIs was quite different from that of urban heat islands, and the SUHIs showed a distinct maximum at noon of the summer months and weak intensities during the nighttime of all seasons. The patterns of seasonal and diurnal variations of the SUHIs were clearly dependent on the geographic environment of cities. In addition, the intensity of SUHIs showed a strong

[1]  Jong-Jin Baik,et al.  Spatial and Temporal Structure of the Urban Heat Island in Seoul , 2005 .

[2]  K. Shadan,et al.  Available online: , 2012 .

[3]  P. Ciais,et al.  Response to Comment on ``Surface Urban Heat Island Across 419 Global Big Cities'' , 2012 .

[4]  Myoung-Seok Suh,et al.  Evaluation of Land Surface Temperature Operationally Retrieved from Korean Geostationary Satellite (COMS) Data , 2013, Remote. Sens..

[5]  N. Brunsell,et al.  The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring , 2013 .

[6]  Z. Wan New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .

[7]  J. A. Voogta,et al.  Thermal remote sensing of urban climates , 2003 .

[8]  B. Dousseta,et al.  Satellite multi-sensor data analysis of urban surface temperatures and landcover , 2003 .

[9]  Valéry Masson,et al.  Scaling the Daytime Urban Heat Island and Urban-Breeze Circulation , 2010 .

[10]  Elie Bou-Zeid,et al.  Synergistic Interactions between Urban Heat Islands and Heat Waves: The Impact in Cities Is Larger than the Sum of Its Parts* , 2013 .

[11]  Markus Neteler,et al.  Estimating Daily Land Surface Temperatures in Mountainous Environments by Reconstructed MODIS LST Data , 2010, Remote. Sens..

[12]  Jong‐Jin Baik,et al.  Daily maximum urban heat island intensity in large cities of Korea , 2004 .

[13]  Jianguo Tan,et al.  The urban heat island and its impact on heat waves and human health in Shanghai , 2010, International journal of biometeorology.

[14]  V. Masson,et al.  CO 2 dispersion modelling over Paris region within the CO 2 -MEGAPARIS project , 2012 .

[15]  Y. Yasuoka,et al.  Assessment with satellite data of the urban heat island effects in Asian mega cities , 2006 .

[16]  Matthias Roth,et al.  Effects of Cities on Local Climates , 2002 .

[17]  W. Emery,et al.  Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology , 1989 .

[18]  Stefania Bonafoni,et al.  Remote Sensing Satellite and Ground-based Sensors for the Urban Heat Island Analysis in the City of Rome , 2022 .

[19]  Qihao Weng Fractal Analysis of Satellite-Detected Urban Heat Island Effect , 2003 .

[20]  C. DaCamara,et al.  Land surface temperature and emissivity estimation based on the two-temperature method: sensitivity analysis using simulated MSG/SEVIRI data , 2004 .

[21]  M. Suh,et al.  Land Cover Classification over East Asian Region Using Recent MODIS NDVI Data (2006-2008) , 2010 .

[22]  Jong-Jin Baik,et al.  Maximum Urban Heat Island Intensity in Seoul , 2002 .

[23]  Jong‐Jin Baik,et al.  Effects of boundary-layer stability on urban heat island-induced circulation , 2007 .

[24]  M. Romaguera,et al.  Land surface temperature retrieval from MSG1-SEVIRI data , 2004 .

[25]  Guoyu Ren,et al.  Spatial and Temporal Characteristics of Beijing Urban Heat Island Intensity , 2013 .

[26]  S. Belcher,et al.  Simulations of the London urban heat island , 2011 .

[27]  Elena Mauri,et al.  Satellite monitoring of summer heat waves in the Paris metropolitan area , 2011 .

[28]  M. Haeffelin,et al.  Spatio-temporal variability of the atmospheric boundary layer depth over the Paris agglomeration: An assessment of the impact of the urban heat island intensity , 2012 .

[29]  Eyal Ben-Dor,et al.  Airborne video thermal radiometry as a tool for monitoring microscale structures of the urban heat island , 1997 .

[30]  T. Oke City size and the urban heat island , 1973 .