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	An Algorithm for Land Surface Temperature Retrieval Using Three Thermal Infrared Bands of Himawari-8
	Yamamoto, Yuhei1; Ishikawa, Hirohiko1; Oku, Yuichiro2; Hu, Zeyong3
刊名	JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
	2018
卷号	96B页码:59-76
关键词	land surface temperature Himawari-8 Advanced Himawari Imager thermal infrared cloud mask land surface emissivity
ISSN号	0026-1165
DOI	10.2151/jmsj.2018-005
通讯作者	Yamamoto, Yuhei(yamamoto_y@storm.dpri.kyoto-u.ac.jp)
英文摘要	This paper presents a method for estimating the land surface temperature (LST) from Himawari-8 data. The Advanced Himawari Imager onboard Himawari-8 has three thermal infrared bands in the spectral range of 10-12.5 mu m. We developed a nonlinear three-band algorithm (NTB) that makes the best use of these bands to estimate the LST. The formula of the algorithm includes 10 coefficients. The optimum values of these coefficients were derived using a statistical regression method from the simulated data, as obtained by a radiative transfer model. The simulated data sets correspond to a variety of values of LST, as well as surface emissivity, type and season of temperature and water vapor profiles. Viewing zenith angles (VZAs) from 0 degrees to 60 degrees were considered. For the coefficients obtained in this way, we verified the root-mean-square error (RMSE) in terms of the VZA, LST and precipitable water dependence. We showed that the NTB can accurately estimate the LST with an RMSE less than 0.9 K compared with the nonlinear split-window algorithm developed by Sobrino and Romaguera (2004). Moreover, we evaluated the sensitivities of the LST algorithms to the uncertainties in input data by using the dataset independent of the dataset used to obtain coefficients. Consequently, we showed that the NTB has the highest robustness against the uncertainties in input data. Finally, the stepwise LST retrieval method was constructed. This method includes a simple cloud mask procedure and the land surface emissivity estimation. The LST product was evaluated using in-situ data over the Tibetan Plateau, and the validity was confirmed.
收录类别	SCI
WOS关键词	SPLIT-WINDOW ALGORITHM ; GENERAL-CIRCULATION MODEL ; EMISSIVITY RETRIEVAL ; CLOUD DETECTION ; AVHRR DATA ; GMS DATA ; PART I ; VALIDATION ; MODIS ; IMAGERY
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
语种	英语
出版者	METEOROLOGICAL SOC JAPAN
WOS记录号	WOS:000427500900004
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557776
专题	寒区旱区环境与工程研究所
通讯作者	Yamamoto, Yuhei
作者单位	1.Kyoto Univ, Disaster Prevent Res Inst, Kyoto, Japan 2.Univ Hyogo, Kobe, Hyogo, Japan 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yamamoto, Yuhei,Ishikawa, Hirohiko,Oku, Yuichiro,et al. An Algorithm for Land Surface Temperature Retrieval Using Three Thermal Infrared Bands of Himawari-8[J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN,2018,96B:59-76.
APA	Yamamoto, Yuhei,Ishikawa, Hirohiko,Oku, Yuichiro,&Hu, Zeyong.(2018).An Algorithm for Land Surface Temperature Retrieval Using Three Thermal Infrared Bands of Himawari-8.JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN,96B,59-76.
MLA	Yamamoto, Yuhei,et al."An Algorithm for Land Surface Temperature Retrieval Using Three Thermal Infrared Bands of Himawari-8".JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN 96B(2018):59-76.

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