Interactive comment on “Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations” by A. Di Noia et al
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چکیده
Actually, we could have even applied the PCA to the entire observation vector (reflectance + DLP). This topic is slightly controversial, and conflicting opinions can be encountered in literature on this topic. We decided to apply the PCA separately in order not to mix two physically “inhomogeneous” quantities, because we feel that this approach is more “traceable” from a physical standpoint, even though we recognize that this does not necessarily lead to better results. The rationale may be described as follows. The physical variables of the retrieval problem are the vector of reflectances and the vector of DLPs (together with the SZA and the surface pressure). Since the reflectance vector and the DLP vector are representative of inherently different physical quantities, we consider them as living in two separate vector spaces, and therefore we look for a minimal representation of each quantity in its own vector space, with the PCA providing the vector basis for such representation in both cases.
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تاریخ انتشار 2014