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Efficiency of clouds on shortwave radiation using experimental data

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  • Mateos, D.
  • Antón, M.
  • Valenzuela, A.
  • Cazorla, A.
  • Olmo, F.J.
  • Alados-Arboledas, L.

Abstract

An extended data set of ground-based measurements of shortwave radiation, and cloud optical depth (COD) has been used to evaluate the surface cloud radiative forcing (CRF) in the shortwave range under overcast conditions (confirmed with sky images) at Granada, Spain. CRF varies in linear way with the logarithm of the COT showing a high correlation. The slope of the regression line (b) exhibits a clear dependence on solar zenith angle (SZA). The change in CRF per COD-unit is the cloud forcing efficiency (CFE), which is defined as the CRF derivate with respect to COD. In this case, CFE=b/COD. Experimental CFE varies between −160Wm−2 per COD-unit for SZA=14° and COD=1, and −0.3Wm−2 per COD-unit for SZA=80° and COD=50. The largest values of CFE are observed at low SZA and low COD. These empirical results are corroborated by radiative transfer simulations carried out by LibRadtran code.

Suggested Citation

  • Mateos, D. & Antón, M. & Valenzuela, A. & Cazorla, A. & Olmo, F.J. & Alados-Arboledas, L., 2014. "Efficiency of clouds on shortwave radiation using experimental data," Applied Energy, Elsevier, vol. 113(C), pages 1216-1219.
  • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1216-1219
    DOI: 10.1016/j.apenergy.2013.08.060
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    References listed on IDEAS

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    1. Islam, M.D. & Kubo, I. & Ohadi, M. & Alili, A.A., 2009. "Measurement of solar energy radiation in Abu Dhabi, UAE," Applied Energy, Elsevier, vol. 86(4), pages 511-515, April.
    2. Furlan, Claudia & de Oliveira, Amauri Pereira & Soares, Jacyra & Codato, Georgia & Escobedo, João Francisco, 2012. "The role of clouds in improving the regression model for hourly values of diffuse solar radiation," Applied Energy, Elsevier, vol. 92(C), pages 240-254.
    3. Younes, S. & Muneer, T., 2007. "Clear-sky classification procedures and models using a world-wide data-base," Applied Energy, Elsevier, vol. 84(6), pages 623-645, June.
    4. Tian, Y. & Zhao, C.Y., 2013. "A review of solar collectors and thermal energy storage in solar thermal applications," Applied Energy, Elsevier, vol. 104(C), pages 538-553.
    5. El-Sebaii, A.A. & Al-Hazmi, F.S. & Al-Ghamdi, A.A. & Yaghmour, S.J., 2010. "Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia," Applied Energy, Elsevier, vol. 87(2), pages 568-576, February.
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    1. Terrén-Serrano, Guillermo & Martínez-Ramón, Manel, 2021. "Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting," Applied Energy, Elsevier, vol. 288(C).

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