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The improvement and comparison of diffuse radiation models in different climatic zones of China

文献类型：期刊论文

作者Zhu, Tingting5,6; Li, Jun5; He, Liang7; Wu, Dingrong1; Tong, Xiaojuan4; Mu, Qingyun5; Yu, Qiang2,3
刊名ATMOSPHERIC RESEARCH
出版日期2021-06-01
卷号254页码:11
关键词Clearness index Climatic zones Cloud cover Diffuse radiation Neural network Sunshine duration
ISSN号0169-8095
DOI10.1016/j.atmosres.2021.105505
通讯作者Li, Jun(lijun@igsnrr.ac.cn)
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.
资助项目National Natural Science Foundation of China[41730645] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040301]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000636299100007
出版者ELSEVIER SCIENCE INC
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/161904]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Jun
作者单位1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
2.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
3.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
4.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
6.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
7.Natl Meteorol Ctr, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Tingting,Li, Jun,He, Liang,et al. The improvement and comparison of diffuse radiation models in different climatic zones of China[J]. ATMOSPHERIC RESEARCH,2021,254:11.
APA Zhu, Tingting.,Li, Jun.,He, Liang.,Wu, Dingrong.,Tong, Xiaojuan.,...&Yu, Qiang.(2021).The improvement and comparison of diffuse radiation models in different climatic zones of China.ATMOSPHERIC RESEARCH,254,11.
MLA Zhu, Tingting,et al."The improvement and comparison of diffuse radiation models in different climatic zones of China".ATMOSPHERIC RESEARCH 254(2021):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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