• Journal of Atmospheric and Environmental Optics
  • Vol. 14, Issue 3, 201 (2019)
Shan HUANG1、2, Fuqi SI1, Minjie ZHAO1、2, Shimei WANG1, and Haijin ZHOU1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2019.03.005 Cite this Article
    HUANG Shan, SI Fuqi, ZHAO Minjie, WANG Shimei, ZHOU Haijin. Design of Ground Data Evaluation Software for Atmospheric Trace Gas Differential Absorption Spectrometer[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(3): 201 Copy Citation Text show less

    Abstract

    Through acquiring high accurate UV/Vis radiation scattered or reflected by air or earth surface, atmospheric trace gas differential absorption spectrometer can monitor distribution and variation of trace gases based on differential optical absorption spectrum algorithm. The laboratory calibration of the load is performed on the ground to verify the performance and reliability of the load and support the data processing of the load. In order to quickly process load calibration data, spectral calibration and radiation calibration software was developed. Calibration software is based on C++ language and developed on Windows platform to achieve data calibration and multi-dimensional display calibration data. Polynomial fitting algorithm is used in spectral calibration, while Gauss fitting algorithm is used in spectral resolution. Radiation calibration includes absolute radiation calibration and relative radiation calibration. Absolute radiation calibration is used to determine the instability and non-linearity of radiation calibration. Relative radiation calibration is used to obtain relative radiation correction coefficients and uncertainty. The results show that the software runs well and is competent for the processing the load ground spectrum calibration and radiation calibration data.
    HUANG Shan, SI Fuqi, ZHAO Minjie, WANG Shimei, ZHOU Haijin. Design of Ground Data Evaluation Software for Atmospheric Trace Gas Differential Absorption Spectrometer[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(3): 201
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