Translator Disclaimer
Paper
18 April 2003 Retrieval of atmospheric parameters with neural network inversion of infrared high-resolution sensor spectra
Author Affiliations +
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
Back to Top