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DOI | 10.1016/j.atmosres.2021.105505 |
The improvement and comparison of diffuse radiation models in different climatic zones of China | |
Zhu T.; Li J.; He L.; Wu D.; Tong X.; Mu Q.; Yu Q. | |
发表日期 | 2021 |
ISSN | 0169-8095 |
卷号 | 254 |
英文摘要 | Diffuse radiation is vital for climatology, sustainable energy, agriculture and biological activities. It is often estimated based on some meteorological factors but seldom takes total cloud cover into consideration. In this study, cloud cover data are used to establish models, compared with other regular models for estimating diffuse radiation in different climatic zones of China during 1992–2015. The results showed that the performance of the new model based on sunshine fraction (n/N), clearness index (kt), total cloud cover (CI), air temperature (Ta), relative humidity (RH), wind speed and the day of the year outperformed other models and further improved the predictive accuracy. Generally, the kd models based on the single kt was generally more precise compared with single n/N-based or single CI-based models. And models on the basis of multiple factors performed better than the single factor-based model. Comparisons between these models indicated that neural network models (with the largest R and smallest RMSD values) provided better overall accuracy than other models. The parameter of CI as the co-factor can improve the prediction of diffuse radiation. The models developed and evaluated in this study can contribute to developing and utilizing solar energy in China, especially in areas without diffuse radiation records. © 2021 Elsevier B.V. |
英文关键词 | Clearness index; Climatic zones; Cloud cover; Diffuse radiation; Neural network; Sunshine duration |
来源期刊 | Atmospheric Research
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/236826 |
作者单位 | Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; International Institute for Earth System Sciences, Nanjing University, Nanjing, 210023, China; National Meteorological Center, Beijing, 100081, China; State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China; College of Forestry, Beijing Forestry University, Beijing, 100083, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A& F University, Yangling, 712100, China; School of Life Sciences, University of Technology SydneyNSW 2007, Australia |
推荐引用方式 GB/T 7714 | Zhu T.,Li J.,He L.,et al. The improvement and comparison of diffuse radiation models in different climatic zones of China[J],2021,254. |
APA | Zhu T..,Li J..,He L..,Wu D..,Tong X..,...&Yu Q..(2021).The improvement and comparison of diffuse radiation models in different climatic zones of China.Atmospheric Research,254. |
MLA | Zhu T.,et al."The improvement and comparison of diffuse radiation models in different climatic zones of China".Atmospheric Research 254(2021). |
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