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Determination of Angstrom’s turbidity coefficient over Thailand

Author

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  • Janjai, S.
  • Kumharn, W.
  • Laksanaboonsong, J.

Abstract

Values of the Angstrom’s turbidity coefficient, β, at 53 meteorological stations covering Thailand were determined by using three different methods. A selection of the methods was based on input data available at each station. It was started with the calculation of β at Nakhon Pathom (13.81 °N and 100.4 °E) using narrow-band spectral irradiance data obtained from a multi-filter rotating shadow band radiometer. Langley’s method was employed to calculate β from the spectral data. The values of β derived from this method were used as references to validate a method for computing β from broad-band direct irradiance proposed by Louche et al. (Solar Energy 38(2)89). It was found that this method was valid for a tropical climate. Then Louche et al.’s method was used to calculate β at meteorological stations situated at four main cities, namely Chiang Mai (18.78 °N, 98.98 °E) located in the north, Ubon Rachathani (15.25 °N, 104.87 °E) in the northeast, Songkhla (7.20 °N, 100.60 °E) in the south and Bangkok in the central region. Based on values of β of these cities, a new model relating β to visibility, suitable for the tropical climate was developed. This model was used to estimate β at the other 48 meteorological stations where the visibility was routinely observed. Finally, seasonal variations of β were investigated. It was found that for the stations in the north, the northeast and the central region, the values of β are relatively high in the dry season (November–April). They decrease in the wet season (May–October). For most stations in the south, β was relatively low and remained nearly constant all year round. It was also inferred that the northeast monsoon and the southwest monsoon had a strong influence on the seasonal variations of β.

Suggested Citation

  • Janjai, S. & Kumharn, W. & Laksanaboonsong, J., 2003. "Determination of Angstrom’s turbidity coefficient over Thailand," Renewable Energy, Elsevier, vol. 28(11), pages 1685-1700.
  • Handle: RePEc:eee:renene:v:28:y:2003:i:11:p:1685-1700
    DOI: 10.1016/S0960-1481(03)00010-7
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    References listed on IDEAS

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    1. Li, Danny H.W & Lam, Joseph C, 2002. "A study of atmospheric turbidity for Hong Kong," Renewable Energy, Elsevier, vol. 25(1), pages 1-13.
    2. Tadros, M.T.Y. & El-Metwally, M. & Hamed, A.B., 2002. "Determination of Ångström coefficients from spectral aerosol optical depth at two sites in Egypt," Renewable Energy, Elsevier, vol. 27(4), pages 621-645.
    3. Hussain, M. & Khatun, Salma & Rasul, M.G., 2000. "Determination of atmospheric turbidity in Bangladesh," Renewable Energy, Elsevier, vol. 20(3), pages 325-332.
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    Cited by:

    1. Lin, Aiwen & Zou, Ling & Wang, Lunche & Gong, Wei & Zhu, Hongji & Salazar, Germán Ariel, 2016. "Estimation of atmospheric turbidity coefficient β over Zhengzhou, China during 1961–2013 using an improved hybrid model," Renewable Energy, Elsevier, vol. 86(C), pages 1134-1144.
    2. Khalil, Samy A. & Shaffie, A.M., 2016. "Attenuation of the solar energy by aerosol particles: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 363-375.
    3. Koussa, Mustapha & Saheb-Koussa, Djohra & Hadji, Seddik, 2017. "Experimental investigation of simple solar radiation spectral model performances under a Mediterranean Algerian's climate," Energy, Elsevier, vol. 120(C), pages 751-773.

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