Spatiotemporal Variability Characteristics of Clear-Sky Land Surface Temperature in Urban Areas of Japan Observed by Himawari-8
Open Access
- 1 January 2018
- journal article
- research article
- Published by Meteorological Society of Japan in SOLA
- Vol. 14, 179-184
- https://doi.org/10.2151/sola.2018-032
Abstract
This paper provides the first attempt to investigate the spatial variability of diurnal change patterns of land surface temperature (LST) in urban areas of Japan by applying principal component analysis on LST data retrieved from Himawari-8 geostationary satellite data. The Tokyo and Osaka metropolitan areas were the focus of the analysis, and the target days were days with zero cloud cover in summer and winter. The results of the analysis showed that diurnal cycles of LST are mainly formed by two temporal change patterns in both seasons. For the summer case, the first two principal components (PCs) represented the temporal change patterns related to the amplitude and phase, respectively. For the winter case, the first two PCs represented the temporal change patterns related to the amplitude and gradual change in LST throughout the day, respectively. Results suggest that these temporal change patterns in both seasons have spatial variability partially dictated by land use and wind speed/direction.Keywords
This publication has 18 references indexed in Scilit:
- Analysis of urban surface temperature change using structure-from-motion thermal mosaicingUrban Climate, 2017
- An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological SatellitesJournal of the Meteorological Society of Japan. Ser. II, 2016
- Satellite-derived land surface temperature: Current status and perspectivesRemote Sensing of Environment, 2013
- Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, ArizonaLandscape Ecology, 2012
- Land surface emissivity retrieval from satellite dataInternational Journal of Remote Sensing, 2012
- Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, ChinaRemote Sensing of Environment, 2011
- An investigation of urban heat island intensity (UHII) as an indicator of urban heatingAtmospheric Research, 2009
- Assessment with satellite data of the urban heat island effects in Asian mega citiesInternational Journal of Applied Earth Observation and Geoinformation, 2006
- Spatial and Temporal Structure of the Urban Heat Island in SeoulJournal of Applied Meteorology and Climatology, 2005
- Sampling Errors in the Estimation of Empirical Orthogonal FunctionsMonthly Weather Review, 1982