气候变化领域集成服务门户(CCPortal): High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite

CCPortal

DOI	10.1016/j.rse.2019.111583
	High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite
	Letu H.; Yang K.; Nakajima T.Y.; Ishimoto H.; Nagao T.M.; Riedi J.; Baran A.J.; Ma R.; Wang T.; Shang H.; Khatri P.; Chen L.; Shi C.; Shi J.
发表日期	2020
ISSN	00344257
卷号	239
英文摘要	Optical properties of clouds and heavy aerosol retrieved from satellite measurements are the most important elements for calculating surface solar radiation (SSR). The Himawari-8/Advanced Himawari Imager (AHI) satellite measurements receive high spatial, temporal and spectral signals, which provides an opportunity to estimate cloud, aerosol and SSR accurately. In this study, we developed the AHI official cloud property product (version 1.0) for JAXA P-Tree system. A look-up table (LUT) method was used to calculate high-temporal (10 min) and high-spatial (5 km) SSR from AHI cloud properties. First, the LUT of the SSR estimation was optimized through a radiative transfer model to account for solar zenith angle, cloud optical thickness (COT), effective particle radius (CER), aerosol optical thickness and surface albedo. Following this, COT and CER were retrieved from the AHI data, with ice cloud parameters being retrieved from an extended Voronoi ice crystal scattering database and water cloud parameters being retrieved from the Mie–Lorenz scattering model. The retrieved COT and CER for water clouds were compared well with MODIS collection 6 cloud property products, with correlation coefficients of 0.77 and 0.82, respectively. The COT of ice cloud also shows good consistency, with a correlation coefficient of 0.85. Finally, the SSR was calculated based on the SSR LUT and the retrieved cloud optical parameters. The estimated SSR was validated at 122 radiation stations from several observing networks covering the disk region of Himawari-8. The root-mean-square error (RMSE) at CMA (China Meteorological Administration) stations was 101.86 Wm− 2 for hourly SSR and 31.42 Wm− 2 for daily SSR; RMSE at non-CMA stations was 119.07 Wm− 2 for instantaneous SSR, 81.10 Wm− 2 for hourly SSR and 26.58 Wm− 2 for daily SSR. Compared with the SSR estimated from conventional geostationary satellites, the accuracy of the SSR obtained in this study was significantly improved. © 2019 The Authors
英文关键词	Cloud property retrieval; Himawari-8 satellite; Ice scattering model; Surface solar radiation
语种	英语
scopus关键词	Aerosols; Clouds; Geostationary satellites; Ice; Mean square error; Radiative transfer; Solar radiation; Table lookup; Aerosol optical thickness; Cloud microphysical properties; Cloud optical thickness; Cloud properties; Correlation coefficient; Radiative transfer model; Scattering model; Surface solar radiation; Optical properties; cloud microphysics; geostationary satellite; numerical model; satellite altimetry; solar radiation; spectral resolution
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179471
作者单位	State Key Laboratory of Remote Sensing Science, The Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Datun Road No. 20 (North), Beijing, 100101, China; Research and Information Center (TRIC), Tokai University, 4-1-1 Kitakaname HiratsukaKanagawa 259-1292, Japan; Department of Earth Science System, Tsinghua University, Beijing, 10084, China; Meteorological Research Institute, Japan Meteorological Agency (JMA), Nagamine 1-1, Tsukuba, 305-0052, Japan; Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), 2-1-1 Sengen Tsukuba-shi, Ibaraki, 305-8505, Japan; Laboratoire d'Optique Atmosphérique, Université de Lille–Sciences et Technologies, Villeneuve d'Ascq, 59655, France; Met Office, Fitzroy Road, Exeter, EX1 3PB, United Kingdom; University of Chinese Academy of Sciences, Beijing, 100049, China; Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, 980-8578, Japan; National Meteorological Information Center, China Meteorological Admini...
推荐引用方式 GB/T 7714	Letu H.,Yang K.,Nakajima T.Y.,et al. High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite[J],2020,239.
APA	Letu H..,Yang K..,Nakajima T.Y..,Ishimoto H..,Nagao T.M..,...&Shi J..(2020).High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite.Remote Sensing of Environment,239.
MLA	Letu H.,et al."High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite".Remote Sensing of Environment 239(2020).