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Chinese Academy of Sciences Institutional Repositories Grid
An Algorithm for Land Surface Temperature Retrieval Using Three Thermal Infrared Bands of Himawari-8

文献类型:期刊论文

作者Yamamoto, Yuhei1; Ishikawa, Hirohiko1; Oku, Yuichiro2; Hu, Zeyong3
刊名JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
出版日期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
DOI10.2151/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
WOS记录号WOS:000427500900004
出版者METEOROLOGICAL SOC JAPAN
URI标识http://www.irgrid.ac.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
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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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来源:寒区旱区环境与工程研究所

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