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Coupling meteorological variables with Moderate Resolution Imaging Spectroradiometer atmospheric products for estimating global solar radiation
Chen, Ji-Long1; He, Lei2; Yang, Hong3,4; Chen, Qiao1; Ma, Mao-Hua1; Wang, Xiao-Xiao1; Xiao, Zuo-Lin5
2020-02-01
摘要Global solar radiation is a crucial variable for scientific researches and solar energy application, while it is measured at very few sites mainly due to the technical and fiscal obstacles. Developing robust and accurate models for estimating global solar radiation had been being a focus for many studies. This study was conducted to develop integrated models combining Moderate Resolution Imaging Spectroradiometer atmospheric products and meteorological variables. 43 empirical models based on the meteorological variables were collected. A total of 645 integrated models incorporating atmospheric constituents into the empirical models were developed. The researched models were evaluated and compared at Chongqing in Three Gorges Reservoir Area, China. The results showed that the integrated models outperformed the empirical models. The best integrated model had the root mean square error of 0.817 MJ m(-2) and relative root mean square error of 8.11%. On average, the integrated models had the root mean square error of 1.071 MJ m(-2), 15.6% smaller than the empirical models. The results suggest that coupling Moderate Resolution Imaging Spectroradiometer atmospheric products with meteorological variables can enhance the performance of the conventional empirical models, which may provide a promising alternative to generate global solar radiation data with better accuracy.
关键词Global solar radiation Moderate Resolution Imaging Spectroradiometer Empirical models Meteorological variables
DOI10.1016/j.enconman.2019.112383
发表期刊ENERGY CONVERSION AND MANAGEMENT
ISSN0196-8904
卷号205页码:11
通讯作者Xiao, Zuo-Lin(xiaoll@cqnu.edu.cn)
收录类别SCI
WOS记录号WOS:000515440100104
语种英语