PhD Thesis Neural networks algorithms for the estimation of atmospheric ozone from Envisat-SCIAMACHY and Aura-OMI data
نویسنده
چکیده
Observations of ozone from satellite platform is a key source of information to monitor and understand processes that may have a relevant impact on public health, air quality and climate. To achieve at the same time a reasonable spatial resolutions and a sufficient sensitivity, nadir UV/VIS sensor may be exploited. The topic of the PhD thesis work summarized here is the use of neural networks (NNs) algorithms to extract the height resolved ozone information content from satellite UV/VIS radiance spectra. NNs are a useful alternative tool with respect to more established inversion schemes like, e.g., optimal estimation. The considered sensors were Envisat-SCIAMACHY and Aura-OMI.
منابع مشابه
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