Four radiometric models are compared to study the Angstr?m turbidity coefficient over Gharda?a (Algeria). Five years of global irradiance measurements and space data recorded with MODIS are used to estimate . The models are referenced as for Dogniaux’s method, for Louche’s method, for Pinazo’s method, for Gueymard’s method and by for MODIS data. The results showed that and are very close as the couple and . values are between them. Results showed also that all Angstr?m coefficient curves have the same annual trend with maximum and minimum values respectively in summer and winter months. Annual mean values of increased from 2005 to 2008 with a slight jump in 2007 except for . The city environment explains it since the urban aerosols predominate over all other types during this period. The jump in 2007 is attributed to the ozone layer thickness that undergoes the same behavior. Some models are then more sensitive to this atmospheric component than others. The occurrence frequency distribution showed that , , ,
Lopez, G. and Batlles, F.J. (2004) Estimate of the Atmospheric Turbidity from Three Broad-Band Solar Radiation Algorithms, a Comparative Study. Annales Geophysicae, 22, 2657-2668. https://doi.org/10.5194/angeo-22-2657-2004
Pinazo, J.M., Canada, J. and Boscá, J.V. (1995) A New Method to Determine the Angström’s Turbidity Coefficient: Its Application to Valencia. Solar Energy, 54, 219-226. https://doi.org/10.1016/0038-092X(94)00117-V
Grenier, J. C., De La Casiniere, A. and Cabot, T. (1994) A Spectral Model of Linke’s Turbidity Factor and Its Experimental Implications. Solar Energy, 52, 303-314. https://doi.org/10.1016/0038-092X(94)90137-6
Louche, A., Maurel, M., Simonet, O., Peri, G. and Iqbal, M. (1987) Determination of Angström’s Turbidity Coefficient from Direct Solar Irradiance Measurements. Solar Energy, 38, 89-96. https://doi.org/10.1016/0038-092X(87)90031-4
Gueymard, C. (1995) SMARTS2, Simple Model of the Atmospheric Radiative Transfer of Sunshine: Algorithms and Performance Assessment. Rep. FSEC-PF-270-95, Florida Solar Energy Center. https://doi.org/10.1016/j.atmosres.2007.08.003
Karayel, M., Navvab, M., Ne’eman, E. and Selkowitz, S. (1984) Zenith Luminance and Sky Luminance Distributions for Daylighting Calculations. Energy and Buildings, 6, 283-291. https://doi.org/10.1016/0378-7788(84)90060-4
Perez, R., Seals, R. and Michalsky, J. (1993) All-Weather Model for Sky Luminance Distribution-Preliminary Configuration and Validation. Solar Energy, 50, 235-245. https://doi.org/10.1016/0038-092X(93)90017-I
Torres, O., Decae, R., Veefkind, P. and de Leeuw, G. (2002) OMI Aerosol Retrieval Algorithm. Algorithm Theoretical Baseline Document: Clouds, Aerosols, and Surface UV Irradiance. Vol. III, ATBD-OMI-03, Version 2.0.
Gueymard, C. (1994) Analysis of Monthly Average Atmospheric Precipitable Water and Turbidity in Canada and Northern United States. Solar Energy, 53, 57-71. https://doi.org/10.1016/S0038-092X(94)90606-8
Boscaa, J.V., Canada, J., Pinazo, J.M. and Ruiz, V. (1996) Angström’s Turbidity Coefficient in Seville, Spain in the Years 1990 and 1991. International Journal of Ambiant Energy, 17, 171-178. https://doi.org/10.1080/01430750.1996.9675240
Gueymard, C. (1989) A Two-Band Model for the Calculation of Clear Sky Solar Irradiance, Illuminance, and Photosynthetically Active Radiation at Earth’s Surface. Solar Energy, 43, 253-265. https://doi.org/10.1016/0038-092X(89)90113-8
Gueymard, C. (2012) Clear-Sky Irradiance Predictions for Solar Resource Mapping and Large-Scale Applications: Improved Validation Methodology and Detailed Performance Analysis of 18 Broadband Radiative Models. Solar Energy, 86, 2145-2169.
Djafer, D., Irbah, A. and Zaiani, M. (2017) Identification of Clear Days from Solar Irradiance Observations Using a New Method Based on the Wavelet Transform. Renewable Energy, 101, 347-355. https://doi.org/10.1016/j.renene.2016.08.038