Abstract
Comment
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Oral
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IAMAS
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M15 - Advances in the Remote Sensing of Aerosols, Clouds, Precipitation and Radiation
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Surface solar radiation compositions observed from the geostationary satellites
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1. Chong , Shi*, Aerospace Information Research Institute,Chinese Academy of Sciences
2. Husi , Letu, Aerospace Information Research Institute,Chinese Academy of Sciences
3. Takashi Y. , Nakajima, Research and Information Center (TRIC),Tokai University
4. Teruyuki , Nakajima, The University of Tokyo
5. Run , Ma, Aerospace Information Research Institute,Chinese Academy of Sciences
6. Jian , Xu, National Space Science Center,Chinese Academy of Sciences
7. Huazhe , Shang, Aerospace Information Research Institute,Chinese Academy of Sciences
8. Lesi , Wei, Aerospace Information Research Institute,Chinese Academy of Sciences
9. Jiancheng , Shi, National Space Science Center,Chinese Academy of Sciences
10. Liangfu , Chen, Aerospace Information Research Institute,Chinese Academy of Sciences
*Presenting Author
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Surface downward solar radiation compositions (SSRC), including photosynthetically active radiation (PAR), ultraviolet-A (UVA), ultraviolet-B (UVB), and shortwave radiation (SWR), with high spatial?temporal resolutions and precision are essential for applications including solar power, vegetation photosynthesis, and environmental health. In this study, an optimal algorithm was developed to calculate SSRC, including their direct and diffuse components. Key features of the algorithm include combining the radiative transfer model with machine learning techniques, including consideration of the effects of aerosol, cloud phases, and gas components. A monitoring system was developed based on this algorithm, with SSRC products generated from the geostationary satellites. Validation with ground-based data shows the high accuracy of the new SSRC data. The SSRC data is available from the CARE home page (www.slrss.cn/care/sp/pc/).