Application of neural algorithms for a real time estimation of ozone profiles from GOME measurements

Author

DelFrate, F. ; Ortenzi, A. ; Casadio, S. ; Zehner, C.

Author_Institution

Ingegneria-DISP, Tor Vergata Univ., Rome, Italy

Volume

6

fYear

2001

fDate

2001

Firstpage

2668

Abstract

The distribution of trace gases in the atmosphere, its thermal structure and its circulation mechanisms result from a complex interplay between radiative, physical and dynamical processes. Neural networks algorithms can be a useful tool with such complexities in retrieval operations. In this paper their potentialities have been exploited to design on-line procedures for the estimation of vertical profiles of ozone from spectral radiances measured by GOME. Investigations on the November 1999 mini hole condition have been considered as an example of application of the algorithm

Keywords

atmospheric composition; atmospheric techniques; neural nets; ozone; remote sensing; AD 1999 11; GOME measurements; atmosphere; circulation mechanisms; dynamical processes; neural algorithms; neural network algorithms; on-line estimation; ozone profiles; physical processes; radiative processes; real time estimation; retrieval operations; spectral radiances; thermal structure; trace gases distribution; vertical profiles; Atmosphere; Atmospheric measurements; Electronic mail; Extraterrestrial measurements; Geophysical measurements; Information retrieval; Instruments; Meteorology; Neural networks; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.978124

Filename

978124