Paper
19 September 1997 Aerosol optical thickness retrieval from GOME spectra
Antonio Bartoloni, Marina Mochi, Claudio Serafini, Elsa Cattani, Marco Cervino, Rodolfo Guzzi, C. Levoni, Francesca Torricella
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Abstract
The GOME instrument, on board the ERS-2 satellite, has been designed in order to collect radiation over the entire wavelength region from 240 to 790 nm, in which several atmospheric species and also aerosols and clouds can be observed. A prototypal processor for the aerosol optical thickness retrieval and aerosol classification starting from GOME data has been developed. This processor has been devised as a tool to be used for the development of an operational GOME data processing chain. The implemented retrieval algorithm is based on a spectral reflectance fitting procedure of the measured radiances by GOME instrument. The maximum likelihood principle has been used in order to define the objective function. The ranking is made choosing the minimum among the least squares residuals computed for different aerosol classes. For each pixel the output of processor gives the aerosol optical thickness, the aerosol classification, a relative retrieval residual and a flag that indicates if the pixel is cloudy. The results of some different GOME real data sets are shown.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio Bartoloni, Marina Mochi, Claudio Serafini, Elsa Cattani, Marco Cervino, Rodolfo Guzzi, C. Levoni, and Francesca Torricella "Aerosol optical thickness retrieval from GOME spectra", Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); https://doi.org/10.1117/12.285551
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KEYWORDS
Aerosols

Scattering

Atmospheric modeling

Clouds

Atmospheric particles

Data processing

Reflectivity

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