| 光谱学与光谱分析 |
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| Study for Differential Cross Section of Ring Effect |
| HAN Dong1, 2, 3, CHEN Liang-fu1*, SU Lin1, TAO Jin-hua4, LI Shen-shen1, 3, YU Chao1, 3, WANG Zi-feng1, 3 |
1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
2. Education Technology Department, Qingdao University, Qingdao 266000, China
3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
4. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
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Abstract The Ring effect is a significant limitation to the accuracy of the retrieval of trace gas constituents in atmosphere, while using satellite data with differential optical absorption spectroscopy technique. The Ring effect refers to the filling in of Fraunhofer lines, known as solar absorption lines, caused almost entirely by rotational Raman scattering. The inelastic component of the molecular scattering results in a net increase in radiance in the line because more radiation is shifted to the wavelength of an absorption line than shifted from this wavelength to other wavelengths. The rotational Raman scattering by N2 and O2 in the atmosphere is the main factor that leads to Ring effect. Basically, the Ring effect is considered as a pseudo-absorption process in retrieval of trace gas constituents in atmosphere. The solar spectrum measured by OMI/AURA is convolved with rotational Raman cross sections of N2 and O2, divided by the original solar spectrum, with a cubic polynomial subtracted off, to create differential Ring spectrum. This method has been suggested in order to obtain an effective differential Ring cross-section for the DOAS fitting process.The differential Ring spectrum could be used to improve the accuracy of the retrieval of the trace gases concentration. The results in this paper have been in basic agreement with the corresponding results calculated with RTM, and the R2 Statistic is 0.966 3.
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Received: 2009-08-18
Accepted: 2009-11-22
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Corresponding Authors:
CHEN Liang-fu
E-mail: lfchen@irsa.ac.cn
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