IGSNRR OpenIR
The improvement and comparison of diffuse radiation models in different climatic zones of China
Zhu, Tingting1,2; Li, Jun1; He, Liang3; Wu, Dingrong4; Tong, Xiaojuan5; Mu, Qingyun1; Yu, Qiang6,7
2021-06-01
Source PublicationATMOSPHERIC RESEARCH
ISSN0169-8095
Volume254Pages:11
Corresponding AuthorLi, Jun(lijun@igsnrr.ac.cn)
AbstractDiffuse 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.
KeywordClearness index Climatic zones Cloud cover Diffuse radiation Neural network Sunshine duration
DOI10.1016/j.atmosres.2021.105505
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41730645] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040301]
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000636299100007
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/161905
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Jun
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
3.Natl Meteorol Ctr, Beijing 100081, Peoples R China
4.Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China
5.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
6.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
7.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
Recommended Citation
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.
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