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Classification of aerosol properties derived from AERONET direct sun data

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Fig. 1. Simulations of the classification of the aerosol properties as a function of the Angstr¨om exponent α (440, 870) and the differ-ence δα=α(440, 675)−α(675, 870), for bimodal, lognormal size distributions with refractive index m=1.4–0.001i
Fig. 2. Comparison of the m=1.40–0.001i grid (black/gray lines) with grids obtained for refractive indices m=1.33–0.000i (blue/pale-blue dashes), and m=1.53–0.003i (brown/red dashes).
Fig. 3. Angstrom exponent difference, δα=α(440, 675)−α(675, 870), as a function of the 440–870 nm Angstr¨om exponent and AOT (color code) for eight AERONET stations (from top): Beijing (China), Rome (Italy), Kanpur (India), Ispra (Italy), Mexico City (Mexi
Table 1. Computed α and δα grid points as a function of R f and η values for refractive index m=1.4–0.001i

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