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DOI | 10.1007/s11430-012-4542-9 |
Development of a 50-year daily surface solar radiation dataset over China | |
Tang WenJun; Yang Kun; Qin Jun; Min Min | |
通讯作者 | Tang, WJ (通讯作者) |
发表日期 | 2013 |
ISSN | 1674-7313 |
EISSN | 1869-1897 |
起始页码 | 1555 |
结束页码 | 1565 |
卷号 | 56期号:9 |
英文摘要 | Although solar radiation is a crucial parameter in designing solar power devices and studying land surface processes, long-term and densely distributed observations of surface solar radiation are usually not available. This paper describes the development of a 50-year dataset of daily surface solar radiation at 716 China Meteorological Administration (CMA) stations. First, a physical model, without any local calibration, is applied to estimate the daily radiation at all 716 CMA routine stations. Then, an ANN-based (Artificial Neural Network) model is applied to extend radiation estimates to earlier periods at each of all 96 CMA radiation stations. The ANN-based model is trained with recent reliable radiation data and thus its estimate is more reliable than the physical model. Therefore, the ANN-based model is used to correct the physical model dynamically at a monthly scale. The correction generally improves the accuracy of the radiation dataset estimated by the physical model: the mean bias error (MBE) averaged over all the 96 radiation stations during 1994-2002 is reduced from 0.68 to -0.11 MJ m(-2) and the root mean square error (RMSE) from 2.01 to 1.80 MJ m(-2). The new radiation dataset shows superior performance over previous estimates by locally calibrated ngstrom-Prescott models. Based on the new radiation dataset, the annual mean daily solar radiation over China is 14.3 MJ m(-2). The maximal seasonal mean daily solar radiation occurs in the Tibetan Plateau during summer with a value of 27.1 MJ m(-2), whereas the minimal seasonal mean daily solar radiation occurs in the Sichuan Basin during winter with a value of 4.7 MJ m(-2). |
关键词 | ARTIFICIAL NEURAL-NETWORKSGLOBAL DATA SETSSUNSHINE DURATIONQUALITY-CONTROLINPUT DATATEMPERATURESIMULATIONALGORITHMFLUXESTREND |
英文关键词 | solar radiation; dataset; correction method; hybrid model; ANN |
语种 | 英语 |
WOS研究方向 | Geology |
WOS类目 | Geosciences, Multidisciplinary |
WOS记录号 | WOS:000323746500010 |
来源期刊 | SCIENCE CHINA-EARTH SCIENCES |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/258141 |
推荐引用方式 GB/T 7714 | Tang WenJun,Yang Kun,Qin Jun,et al. Development of a 50-year daily surface solar radiation dataset over China[J]. 中国科学院青藏高原研究所,2013,56(9). |
APA | Tang WenJun,Yang Kun,Qin Jun,&Min Min.(2013).Development of a 50-year daily surface solar radiation dataset over China.SCIENCE CHINA-EARTH SCIENCES,56(9). |
MLA | Tang WenJun,et al."Development of a 50-year daily surface solar radiation dataset over China".SCIENCE CHINA-EARTH SCIENCES 56.9(2013). |
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