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The design and development of two neural network (NN) algorithms for retrieving atmospheric height-resolved temperature and nitrogen dioxide from UV/VIS satellite radiance data are presented. Sensitivity analyses, NNs optimization and results are discussed, based on radiative transfer simulations. The approach may lead to synergistic monitoring of different atmospheric parameters from the same UV/VIS...
In this paper we report on the design of a Neural Networks algorithm to retrieve tropospheric ozone information from satellite data. Following a combined radiative transfer model-extended pruning sensitivity analysis for input wavelengths selection, we first made an inversion exercise based on a synthetically produced radiance-tropospheric ozone concentrations database. Starting from the encouraging...
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