Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9599205 | Journal of Quantitative Spectroscopy and Radiative Transfer | 2005 | 17 Pages |
Abstract
Dimensionality reduction can be of crucial importance in the application of inversion schemes to atmospheric remote sensing data. In this study the problem of dimensionality reduction in the retrieval of ozone concentration profiles from the radiance measurements provided by the instrument Global Ozone Monitoring Experiment (GOME) on board of ESA satellite ERS-2 is considered. By means of radiative transfer modelling, neural networks and pruning algorithms, a complete procedure has been designed to extract the GOME spectral ranges most crucial for the inversion. The quality of the resulting retrieval algorithm has been evaluated by comparing its performance to that yielded by other schemes and co-located profiles obtained with lidar measurements.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Spectroscopy
Authors
F. Del Frate, M. Iapaolo, S. Casadio, S. Godin-Beekmann, M. Petitdidier,