Retrieval of atmospheric parameters with neural network inversion of infrared high-resolution sensor spectra

Antonio Luchetta; Peter Schluessel; Carmine Serio; Mariassunta Viggiano

doi:10.1117/12.463073

18 April 2003 Retrieval of atmospheric parameters with neural network inversion of infrared high-resolution sensor spectra

Antonio Luchetta, Peter Schluessel, Carmine Serio, Mariassunta Viggiano

Author Affiliations +

Proceedings Volume 4882, Remote Sensing of Clouds and the Atmosphere VII; (2003) https://doi.org/10.1117/12.463073
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

It is presented a neural network methodology to retrieve atmospheric parameters of meteorological interest such as temperature, water vapor and ozone profiles from upwelling high resolution infrared sensor spectra. Neural network approach has been developed on basis of the specification of the Infrared Atmospheric Sounding Interferometer (IASI), which is planned to be flown on the first European Meteorological Operational Satellite Metop in 2005. The performance of the neural network based inversion methodology has been evaluated by considering a suitable set of inversion exercises in which test cases are retrieved.

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Antonio Luchetta, Peter Schluessel, Carmine Serio, and Mariassunta Viggiano "Retrieval of atmospheric parameters with neural network inversion of infrared high-resolution sensor spectra", Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); https://doi.org/10.1117/12.463073

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