Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8/AHI Data

被引:16
|
作者
Lee, Sang-Ho [1 ,2 ]
Kim, Bu-Yo [1 ,2 ]
Lee, Kyu-Tae [1 ,2 ]
Zo, Il-Sung [2 ]
Jung, Hyun-Seok [1 ,2 ]
Rim, Se-Hun [1 ,2 ]
机构
[1] Gangneung Wonju Natl Univ, Dept Atmospher & Environm Sci, 7 Jukheon Gil, Gangneung Si, Gangwon Do, South Korea
[2] Gangneung Wonju Natl Univ, Res Inst Radiat Satellite, 7 Jukheon Gil, Gangneung Si 25457, Gangwon Do, South Korea
关键词
Himawari-8/Advanced Meteorological Imager (Himawari-8/AHI); Geostationary Korea Multi-Purse Satellite/Advanced Meteorological Imager (GK-2A/AMI); broadband albedo at the top of the atmosphere (TOA albedo); reflected shortwave radiation at the top of the atmosphere (RSR); Clouds and the Earth Radiant Energy System (CERES); ANGULAR-DISTRIBUTION MODELS; ENERGY SYSTEM CERES; ALBEDO ESTIMATION; SUN GLINT; SATELLITE; FLUX; CLOUDS; INSTRUMENT; LONGWAVE; METHODOLOGY;
D O I
10.3390/rs10020213
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study developed a retrieval algorithm for reflected shortwave radiation at the top of the atmosphere (RSR). This algorithm is based on Himawari-8/AHI (Advanced Himawari Imager) whose sensor characteristics and observation area are similar to the next-generation Geostationary Korea Multi-Purpose Satellite/Advanced Meteorological Imager (GK-2A/AMI). This algorithm converts the radiance into reflectance for six shortwave channels and retrieves the RSR with a regression coefficient look-up-table according to geometry of the solar-viewing (solar zenith angle, viewing zenith angle, and relative azimuth angle) and atmospheric conditions (surface type and absence/presence of clouds), and removed sun glint with high uncertainty. The regression coefficients were calculated using numerical experiments from the radiative transfer model (SBDART), and ridge regression for broadband albedo at the top of the atmosphere (TOA albedo) and narrowband reflectance considering anisotropy. The retrieved RSR were validated using Terra, Aqua, and S-NPP/CERES data on the 15th day of every month from July 2015 to February 2017. The coefficient of determination (R-2) between AHI and CERES for scene analysis was higher than 0.867 and the Bias and root mean square error (RMSE) were -21.34-5.52 and 51.74-59.28 Wm(-2). The R-2, Bias, and RMSE for the all cases were 0.903, -2.34, and 52.12 Wm(-2), respectively.
引用
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页数:25
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