EarthRef.org Reference Database (ERR)
Development and Maintenance by the EarthRef.org Database Team

Detailed Reference Information
Hadji-Lazaro et al. 1999
Hadji-Lazaro, J., Clerbaux, C. and Thiria, S. (1999). An inversion algorithm using neural networks to retrieve atmospheric CO total columns from high-resolution nadir radiances. Journal of Geophysical Research 104: doi: 10.1029/1999JD900431. issn: 0148-0227.

Up to the first years of the next millennium, several observation programs of the troposphere are scheduled, including the Infrared Atmospheric Sounding Interferometer, which uses Fourier transform spectroscopy to record the radiance of the Earth-atmosphere system with a nadir-viewing geometry. The Interferometric Monitor for Greenhouse Gases (IMG), launched aboard the Advanced Earth Observing System in August 1996, was a precursor of these forthcoming missions. A new inversion algorithm based on neural network techniques is in development to retrieve trace gases from high-resolution nadir radiances. Neural networks offer a technical alternative to classical methods and allow efficient inversion calculations as required to treat the huge volume of data which will be provided by continuous observation of the atmosphere from space. To develop a network to retrieve the carbon monoxide total column, realistic simulations of the IMG measurements were obtained by coupling a three-dimensional chemical-transport model with a high-resolution line-by-line radiative transfer code adjusted to the instrumental features. The application of the algorithm on simulated data allowed the checking of its performance: for about 99% of the cases, the relative inversion error was less than 10%. This algorithm has been applied to the spectra recorded by the IMG instrument between June 16 and 19, 1997. Global-scale distributions of CO total columns were obtained for the first time by using a neural network, and this technique proved its ability to achieve real-time inversion of atmospheric CO. ¿ 1999 American Geophysical Union

BACKGROUND DATA FILES

Abstract

Keywords
Atmospheric Composition and Structure, Middle atmosphere—composition and chemistry, Atmospheric Composition and Structure, Troposphere—composition and chemistry, Atmospheric Composition and Structure, Instruments and techniques, Mathematical Geophysics, Modeling, Hydrology, Evapotranspiration, Information Related to Geographic Region, Antarctica
Journal
Journal of Geophysical Research
http://www.agu.org/journals/jb/
Publisher
American Geophysical Union
2000 Florida Avenue N.W.
Washington, D.C. 20009-1277
USA
1-202-462-6900
1-202-328-0566
service@agu.org
Click to clear formClick to return to previous pageClick to submit