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Inherent optical properties of the aerosols for OLCI/Sentinel-3: from micro-physical properties to optical properties using AERONET
Santer, R.; Zagolski, F.; Aznay, O. (2013). Inherent optical properties of the aerosols for OLCI/Sentinel-3: from micro-physical properties to optical properties using AERONET, in: Ouwehand, L. (Ed.) Proceedings of the Sentinel-3 OLCI/SLSTR and MERIS/(A)ATSR Workshop, 15–19 October 2012, Frascati, Italy. ESA Special Publications, 711: pp. [1-7]

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  • Santer, R., more
  • Zagolski, F.
  • Aznay, O., more

    A well-knowledge of the aerosol optical properties (AOPs) is a strong requirement for achieving the atmospheric correction over ocean. Since several decades, these AOPs were computed with standard aerosol models (SAMs) characterized by their microphysical properties. From the characteristics of microphysics can be derived the inherent optical properties (IOPs). These SAMs were still used in the generation of the MERIS (MEdium Resolution Imaging Spectrometer) auxiliary data file (ADFs) to feed the atmospheric correction algorithm. This approach has been recently revisited by using models derived from the analysis of the AERONET (AErosol RObotic NETwork) measurements. Alternatively, IOPs of these aerosols could be directly extracted from these AOPs. These two approaches are compared by starting to build a database with aerosol IOPs over four AERONET stations in the Northern Sea plus one at AAOT (Acqua Alta Oceanographic Tower, Venice-Italy). Several thousands of data sequences with aerosol IOPs were processed with filtering techniques and statistical methods to produce 16 classes of aerosols. An analysis of the dispersion of the IOPs in each class will be conducted first, to translate this dispersion into an error of the aerosol model extracted in the near-infrared domain from space. Second, we will evaluate how well the aerosol reflectance can be predicted in the visible region in the frame of the ocean colour observation. The first objective will consist in a direct comparison between the two approaches to derive the IOPs of the aerosols from AERONET.Moreover, the need to account for a seasonal and regional variability of the aerosol models will be analyzed, as well the potential than can offer a biangular viewing geometry in a finer identification of the aerosol IOPs. The possible consequence of the OLCI/Sentinel-3 tilt on the characterization of the aerosols will be finally discussed.

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