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Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement

WANG Zijun CHEN Shengbo

WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. 中国地理科学, 2011, 21(5): 554.
引用本文: WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. 中国地理科学, 2011, 21(5): 554.
WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. Chinese Geographical Science, 2011, 21(5): 554.
Citation: WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. Chinese Geographical Science, 2011, 21(5): 554.

Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement

Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement

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出版历程
  • 刊出日期:  2011-08-17

Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement

摘要: The volume emission rate (VER) of airglow can be used to investigate atmospheric processes. Satellite-based limb measurement
of atmosphere is able to obtain the VER profile of airglow with high vertical resolution. However, the traditional one-dimensional retrieval
techniques for VER inversion fail to retrieve horizontal structure of VER profile. Thus, the tomographic technique based on the maximum
probability is applied to retrieving two-dimensional VER profile of airglow from infrared limb measurement. This technique could process the
observed data with low signal-to-noise ratio caused by the observation angle of less than 180° due to the solid nature of the Earth. For
saving the processing time and improving the computing speed of VER inversion, serial tables for storing the large sparse matrix for
radiance simulation and a large dataset during iterative estimate of VER are presented. The index and weighting factor of line of sight
(LOS) through each grid are saved in initial estimate to avoid being computed repeatedly. Furthermore, the product of observed radiance
and corresponding weighting factor obtained in initial iteration is stored as weighted observed radiance for the iterative calculation
subsequently. Based on the improved algorithm, the VER of airglow is inversed through the tomographic technique. The full width of half
maximum (FWHM) of error is 1.78% and the offset of the peak percentage error is 0.22% after 40 iterations for final VER. Comparison of
assumed and retrieved VER profiles suggests that VER can be retrieved with a bias of 15% between 10 km and 90 km above the LayerMin
(6384 km from the Earth center), and with a bias of 8% for altitude from 30 km to 60 km with vertical resolution of 1 km after 40
iterations. After improvements, the computation speed of VER inversion for once can be improved by 29.6 times for 700 images of 1/3
orbit, and accordingly, the processing time will be reduced from 3 hours and 11 minutes to only 6 minutes. In conclusion, the
improvements to tomographic inversion of VER of airglow proposed in this paper are effective and significant.

English Abstract

WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. 中国地理科学, 2011, 21(5): 554.
引用本文: WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. 中国地理科学, 2011, 21(5): 554.
WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. Chinese Geographical Science, 2011, 21(5): 554.
Citation: WANG Zijun, CHEN Shengbo. Effective Solution Algorithm for Tomographic Inversion of Volume Emission Rate from Satellite-based Limb Measurement[J]. Chinese Geographical Science, 2011, 21(5): 554.

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