On the Role of Vis Radiation for the Ozone Information Retrieval from Sciamachy Data by Means of Neural Network Algorithms
نویسندگان
چکیده
In this paper we discuss the design, implementation and performance of two neural network algorithms, one for ozone concentration profile, and the second for tropospheric ozone column retrieval from ESA-Envisat SCIAMACHY Level 1b data. The performances of the two algorithms were checked through tests against ozone sondes measurements. Both algorithms make use of visible radiation whose role has been investigated, by alternatively considering the overall UV/VIS information or only the UV band. In both cases, the algorithms operating with UV/VIS radiance spectra exhibited better performances than those using only UV spectra, especially in troposphere. These results suggest the possibility of improving the accuracy of ozone profile and tropospheric ozone column retrievals by including VIS radiances in the input vector of suitably designed neural network algorithms.
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