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Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data
Tang, WJ (Tang, Wenjun)1,2; Yang, K (Yang, Kun)1,2,3; Sun, Z (Sun, Zhian)4; Qin, J (Qin, Jun)1; Niu, XL (Niu, Xiaolei)1; Tang, WJ
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2017
Volume55Issue:6Pages:3558-3571
DOI10.1109/TGRS.2017.2676164
AbstractA fast parameterization scheme named SUNFLUX is first used in this paper to estimate instantaneous surface solar radiation (SSR) based on products from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard both Terra and Aqua platforms. The scheme mainly takes into account the absorption and scattering processes due to clouds, aerosols, and gas in the atmosphere. The estimated instantaneous SSR is evaluated against surface observations obtained from seven stations of the surface radiation budget network (SURFRAD), four stations in the North China Plain (NCP) and 40 stations of the baseline surface radiation network (BSRN). The statistical results for evaluation against these three data sets show that the relative root-mean-square error (RMSE) values of SUNFLUX are less than 15%, 16%, and 17%, respectively. Daily SSR is derived through temporal upscaling from the MODIS-based instantaneous SSR estimates, and is validated against surface observations. The relative RMSE values for daily SSR estimates are about 16% at the seven SURFRAD stations, four NCP stations, 40 BSRN stations, and 90 China Meteorological Administration (CMA) radiation stations. The accuracy of the scheme is generally higher than those of previous algorithms, and thus can be potentially applied on geostationary satellites for mapping high-resolution SSR data in the future.
Subject Area自然地理学
WOS IDWOS:000402063500038
Language英语
Indexed BySCI
KeywordPHOTOSYNTHETICALLY ACTIVE RADIATION AEROSOL OPTICAL DEPTH SATELLITE DATA IRRADIANCE PREDICTIONS PRODUCTS CHINA CLOUD VALIDATION MODELS SCALE
WOS Research AreaGeochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics; Engineering, Electrical & Electronic; Remote Sensing; Imaging Science & Photographic Technology ; Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology
Cooperation Status国际
SubtypeArticle
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Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8227
Collection图书馆
Corresponding AuthorTang, WJ
Affiliation1.Chinese Acad Sci, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China.
2.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
3.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China.
4.Australian Bur Meteorol, Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia.
Recommended Citation
GB/T 7714
Tang, WJ ,Yang, K ,Sun, Z ,et al. Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(6):3558-3571.
APA Tang, WJ ,Yang, K ,Sun, Z ,Qin, J ,Niu, XL ,&Tang, WJ.(2017).Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(6),3558-3571.
MLA Tang, WJ ,et al."Global Performance of a Fast Parameterization Scheme for Estimating Surface Solar Radiation From MODIS Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.6(2017):3558-3571.
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