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Comparison of different UV models for cloud effect study

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  • Wang, Lunche
  • Gong, Wei
  • Luo, Ming
  • Wang, Wenfeng
  • Hu, Bo
  • Zhang, Ming

Abstract

Observations of UV radiation (290–400 nm) at Yanting, China (31°16′ N, 105°27′ E and 420 m above sea level) from 2005 to 2012 were used for investigating UV variability and its relationship with global solar radiation in Southwest China. Daily UV/G ratios generally increased from 3.7% in January to 4.5% in July with annual mean value of 4.2%. Clearness index was used for characterizing sky conditions and model development. Linear regression between UV and global solar radiation has been carried out and the results showed that the slope changed from 0.05 under overcast skies to 0.04 in clear skies. Nine UV models have been introduced by studying the dependence of hourly UV irradiation on the relative optical air mass, cloud modification factor and clearness index, respectively, which was assessed through the statistical indices: mean bias error, mean-absolute error and root-mean-square error. By comparing the statistical indices from different models, the most suitable UV model was chosen for analyzing the cloud effects. Finally, it was found that the attenuation of UV radiation caused by clouds increased from 35.6% in July to 64.4% in January.

Suggested Citation

  • Wang, Lunche & Gong, Wei & Luo, Ming & Wang, Wenfeng & Hu, Bo & Zhang, Ming, 2015. "Comparison of different UV models for cloud effect study," Energy, Elsevier, vol. 80(C), pages 695-705.
    • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:695-705
    DOI: 10.1016/j.energy.2014.12.026
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    1. Murillo, W & Cañada, J & Pedrós, G, 2003. "Correlation between global ultraviolet (290–385nm) and global irradiation in Valencia and Cordoba (Spain)," Renewable Energy, Elsevier, vol. 28(3), pages 409-418.
    2. Ghoneim, Adel A. & Kadad, Ibrahim M. & Altouq, Majida S., 2013. "Statistical analysis of solar UVB and global radiation in Kuwait," Energy, Elsevier, vol. 60(C), pages 23-34.
    3. Porfirio, Anthony Carlos Silva & De Souza, José Leonaldo & Lyra, Gustavo Bastos & Maringolo Lemes, Marco Antonio, 2012. "An assessment of the global UV solar radiation under various sky conditions in Maceió-Northeastern Brazil," Energy, Elsevier, vol. 44(1), pages 584-592.
    4. Jacovides, C.P. & Assimakopoulos, V.D. & Tymvios, F.S. & Theophilou, K. & Asimakopoulos, D.N., 2006. "Solar global UV (280–380nm) radiation and its relationship with solar global radiation measured on the island of Cyprus," Energy, Elsevier, vol. 31(14), pages 2728-2738.
    5. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    6. Wang, Lunche & Gong, Wei & Ma, Yingying & Hu, Bo & Wang, Wenling & Zhang, Miao, 2013. "Analysis of ultraviolet radiation in Central China from observation and estimation," Energy, Elsevier, vol. 59(C), pages 764-774.
    7. Kudish, A.I. & Lyubansky, V. & Evseev, E.G. & Ianetz, A., 2005. "Inter-comparison of the solar UVB, UVA and global radiation clearness and UV indices for Beer Sheva and Neve Zohar (Dead Sea), Israel," Energy, Elsevier, vol. 30(9), pages 1623-1641.
    8. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    9. Cañada, J & Pedros, G & Bosca, J.V, 2003. "Relationships between UV (0.290–0.385 μm) and broad band solar radiation hourly values in Valencia and Córdoba, Spain," Energy, Elsevier, vol. 28(3), pages 199-217.
    10. Wang, Lunche & Gong, Wei & Hu, Bo & Feng, Lan & Lin, Aiwen & Zhang, Ming, 2014. "Long-term variations of ultraviolet radiation in China from measurements and model reconstructions," Energy, Elsevier, vol. 78(C), pages 928-938.
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