New data processing method of differential optical absorption spectrum for measuring atmospheric trace gases

Yujun Zhang; Young Joon Kim; Jeong-Soon Lee; Bong Jae Kuk

doi:10.1117/12.466840

16 June 2003 New data processing method of differential optical absorption spectrum for measuring atmospheric trace gases

Yujun Zhang, Young Joon Kim, Jeong-Soon Lee, Bong Jae Kuk

Author Affiliations +

Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.466840
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Differential optical absorption spectroscopy (DOAS) is the method widely used to measure trace gases in the atmosphere. The key procedures in the retrieval algorithms of the recorded DOAS spectra are the separation of the absorption into two parts that represent respectively broad and narrow spectral features and the evaluation of absorption spectra. The linear least-squares fitting routines were used to evaluate absorption spectra in the past when the atmospheric spectra were modeled with a linear combination of known laboratory reference spectra to derive the concentrations. In this paper, a new analysis method to derive the concentrations was developed. The method is based on the data correlation and can get the simultaneous linear equations with unknowns of the concentrations (formula available in paper). Solving this n order linear equations can determinate the concentrations of trace gases. This new method considers the fingerprint features of the various trace gases in the same range of wavelength and reduces the influence caused by the detector noise and photon statistics.

Citation Download Citation

Yujun Zhang, Young Joon Kim, Jeong-Soon Lee, and Bong Jae Kuk "New data processing method of differential optical absorption spectrum for measuring atmospheric trace gases", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.466840

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