Design of Neural Networks Algorithms for the Retrieval of Tropospheric Ozone from Satellite Data
نویسنده
چکیده
This paper reports on the development of Neural Networks algorithms for tropospheric ozone retrieval from ESA-Envisat SCIAMACHY measurements. We present and discuss some retrieval experiments from UV/VIS simulated data, based upon a combined sensitivity analysis performed with the aid of the UVSPEC radiative transfer model and a neural Extended Pruning procedure. In particular, the role of UV and VIS information budget is here exploited and critically discussed.
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