Advances in the Researches of the Middle and Upper Atmosphere in China in 2014—2016

Chen, Ze‐Yu; Xu, Jiyao; Xiong, Hu; Chen, Hongbin; Chen, Wen; Ke, Wei; Bian, Jianchun; Wenshou, Tian; Zhang, Shaodong; Rongcai, Ren; Dou, Xiankang

doi:10.11728/cjss2016.05.738

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2016

DOI: 10.11728/cjss2016.05.738

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Advances in the Researches of the Middle and Upper Atmosphere in China in 2014—2016

Ze‐Yu Chen¹,

Jiyao Xu²,

Hu Xiong³

et al.

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2024

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Cited by 2 publications

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High-precision temperature retrieval algorithm and verification for mesospheric airglow spectrum photometer

Niu,

Gao,

Yan

et al. 2024

Sci. China Earth Sci.

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High-precision temperature retrieval algorithm and verification for mesospheric airglow spectrum photometer

Niu,

Gao,

Yan

et al. 2024

Sci. China Earth Sci.

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Inversion Uncertainty of OH Airglow Rotational Temperature Based on Fine Spectral Measurement

Jiang,

Gao,

Niu

et al. 2024

Remote Sensing

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The inversion of temperature by detecting the ratio of the intensity of airglow vibrational and rotational spectral lines is a traditional method for obtaining mesopause temperature. However, previous studies have shown that there is significant uncertainty in the temperature inversion using this technology. A spectrograph instrument called the Mesosphere Airglow Fine Spectrometer (MAFS) was previously developed by our research team. Based on the MAFS, this work systematically evaluated the impact of the spectral line extraction methods and residual background noise elimination methods on temperature inversion results of the OH (6-2) Q-branch as the target. The fitting of residual background noise using different numbers of sampling points can cause the inverted temperature to vary by 5 K to 10 K without changing the overall trend. The temperature inversion results obtained using the three-region single-fit method were generally 3 K to 5 K higher than those obtained using the two-region double-fit method. Moreover, the temperature obtained using the Gaussian fitting area varied by approximately 15 K, with changes in the residual background noise fitting method; however, when using a spectrum peak instead of the Gaussian fitting area, this variation decreased to approximately 10 K. When the temperature is higher, both the residual background noise fitting and the spectral line intensity extraction methods have a more significant impact on the uncertainty of temperature inversion.

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Advances in the Researches of the Middle and Upper Atmosphere in China in 2014—2016

Cited by 2 publications

References 58 publications

High-precision temperature retrieval algorithm and verification for mesospheric airglow spectrum photometer

High-precision temperature retrieval algorithm and verification for mesospheric airglow spectrum photometer

Inversion Uncertainty of OH Airglow Rotational Temperature Based on Fine Spectral Measurement

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