Surface Shortwave Net Radiation Estimation from FengYun-3 MERSI Data
作者： Dongdong Wang , Shunlin Liang , Tao He , Yunfeng Cao , Bo Jiang
DOI: 10.3390/RS70506224
关键词: Shortwave 、 Mean squared error 、 Scale effects 、 Calibration 、 Image resolution 、 Satellite 、 Net radiation 、 Environmental science 、 Spectroradiometer 、 Remote sensing 、 Meteorology
摘要: The Medium-Resolution Spectral Imager (MERSI) is one of the major payloads China’s second-generation polar-orbiting meteorological satellite, FengYun-3 (FY-3), and it similar to Moderate-Resolution Imaging Spectroradiometer (MODIS). MERSI data are suitable for mapping terrestrial, atmospheric oceanographic variables at continental global scales. This study presents a direct-estimation method retrieve surface shortwave net radiation (SSNR) from top-of-atmosphere (TOA) reflectance cloud mask products. first attempt use SSNR data. Several critical issues concerning remote sensing were investigated, including scale effects in validating data, impacts calibration update on estimation dependency retrieval accuracy view geometry. We also incorporated twin MODIS sensors assess how time number satellite overpasses affect Validation against one-year over seven Surface Radiation Budget Network (SURFRAD) stations showed that presented algorithm estimated daily original resolution with root mean square error (RMSE) 41.9 W/m2 bias −1.6 W/m2. Aggregated spatial 161 km, RMSE retrievals can be reduced by approximately 10 Combined further 22.2 Compared SSNR, monthly less affected per day. single sensor as small 13.5
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