Articles | Volume 15, issue 5
Atmos. Meas. Tech., 15, 1123–1144, 2022
https://doi.org/10.5194/amt-15-1123-2022
Atmos. Meas. Tech., 15, 1123–1144, 2022
https://doi.org/10.5194/amt-15-1123-2022
Research article
04 Mar 2022
Research article | 04 Mar 2022

Aerosol models from the AERONET database: application to surface reflectance validation

Jean-Claude Roger et al.

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Cited articles

Ångström, A.: On the Atmospheric Transmission of Sun Radiation and on Dust in the Air, Geogr. Ann., 11, 156–166, https://doi.org/10.1080/20014422.1929.11880498, 1929. 
Badawi, M., Helder, D., Leigh, L., and Jing, X.: Methods for Earth-Observing Satellite Surface Reflectance Validation, Remote Sens., 11, 1543, https://doi.org/10.3390/rs11131543, 2019. 
Bohren, C. F., Huffmann, D. R., and Clothiaux, E. E.: Absorption and scattering of light by small particles, 2nd Edn., Wiley-Vch Verlag Gmbh, 700 pp., ISBN 978-3-527-40664-7, 2016. 
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Short summary
From measurements of the sky performed by AERONET, we determined the microphysical properties of the atmospheric particles (aerosols) for each AERONET site. We used the aerosol optical thickness and its variation over the visible spectrum. This allows us to determine an aerosol model useful for (but not only) the validation of the surface reflectance satellite-derived product. The impact of the aerosol model uncertainties on the surface reflectance validation has been found to be 1 % to 3 %.