Abstract:A reliable estimate of atmospheric and sea surface parameters from satellite microwave radiometric measurements requires the availability of a large dataset of simulated brightness temperatures to train the retrieval algorithms. The validity of the radiative forward model adopted to generate the synthetic brightness temperatures, for known atmospheric and surface conditions, represents a crucial point of any retrieval method. In this work, we propose an approach based on microwave sea emissivity and scattering… Show more
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