Paper
31 January 2002 Retrieval of ozone from infrared IASI measurements
Solene Turquety, Juliette Hadji-Lazaro, Cathy Clerbaux
Author Affiliations +
Proceedings Volume 4539, Remote Sensing of Clouds and the Atmosphere VI; (2002) https://doi.org/10.1117/12.454426
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
The Infrared Atmospheric Sounding Interferometer (IASI), which is due for launch in 2005 aboard the European METOP satellite, will record the infrared radiation of the Earth/atmosphere system in a nadir-viewing geometry. The sensitivity studies carried out on simulated IASI spectra allowed us to highlight its capability to retrieve both total and tropospheric column amounts of ozone. Two algorithms based on neural network techniques have been developed to retrieve these quantities. The averaging kernels characterizing the results show that the information corresponding to the different atmospheric layers can be isolated. However, for the tropospheric ozone retrieval, the lower stratosphere is not totally decoupled, which induces larger uncertainties for the tropospheric columns than for the total columns. Nevertheless, very satisfactory performance has been achieved for both algorithms, with inversion errors smaller than 5 % for the total column retrieval and smaller than 20 % for the tropospheric column retrieval. The Interferometer Monitor for Greenhouse Gases (IMG), which flew aboard the Japanese ADEOS platform was based on the same observation technique as IASI, which enabled us to test our algorithms on real data. Both algorithms have been applied to these data for June 1997. The distributions obtained are in good agreement with the Total Ozone Mapping Spectrometer (TOMS) measurements.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Solene Turquety, Juliette Hadji-Lazaro, and Cathy Clerbaux "Retrieval of ozone from infrared IASI measurements", Proc. SPIE 4539, Remote Sensing of Clouds and the Atmosphere VI, (31 January 2002); https://doi.org/10.1117/12.454426
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Cited by 2 scholarly publications.
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KEYWORDS
Ozone

Algorithm development

Infrared radiation

Atmospheric sensing

Stratosphere

Neural networks

Troposphere

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