Abilitiy Analysis of Spatial Heterodyne Spectrometer in Atmospheric CO2 Detection

Jun, 吴军 Wu; Xianhua, 王先华 Wang; Yonghua, 方勇华 Fang; Wei, 熊伟 Xiong; Hailiang, 施海亮 Shi; Yanli, 乔延利 Qiao

doi:10.3788/aos201131.0101001

Cited by 6 publications

(5 citation statements)

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“…Based on the inversion model, the reduction in noise (quantified as the number of photon noise) in the calculation is approximately proportional to the square root of the number of CO 2 absorption lines covered by the instrument bandwidth. Therefore, if the spectral bandwidth includes N bands containing absorption lines, the required signal-tonoise ratio can be reduced to 1/ √ N per individual band [26,35]. The GAS-2 instrument covers the range of 6153-6269 cm −1 , effectively encompassing approximately 31 distinct spectral lines.…”

Section: Simulation Results Of Spectral Sampling Ratementioning

confidence: 99%

“…Li Qinqin et al investigated the impact of surface pressure, atmospheric temperature profile, surface albedo, aerosol optical thickness, and other factors on carbon dioxide retrieval, while analyzing the error of the spatial heterodyne spectrometer GMI [25]. Jun Wu et al and Hanhan Ye et al explored and analyzed the influence of spectral resolution, altitude, surface albedo, and initial carbon dioxide concentration on the detection accuracy of greenhouse gases [26,27]. Yoshida et al and Uchino et al identified several factors contributing to systematic errors in the retrieval of atmospheric carbon dioxide (CO 2 ) and methane (CH 4 ) concentrations using GOSAT data [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2)

Li,

Cheng,

Yang

et al. 2023

Atmosphere

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Satellite-based monitoring of atmospheric greenhouse gas (GHG) concentrations has emerged as a prominent and globally recognized field of research. With the imminent launch of the Greenhouse-Gases Absorption Spectrometer-2 (GAS-2) on the FengYun3-H (FY3-H) satellite in 2024, there is a promising prospect for substantial advancements in GHG detection capabilities. Crucially, the accurate acquisition of spectral information by GAS-2 is heavily reliant on its instrument parameters. However, the existing body of research predominantly emphasizes the examination of atmospheric parameters and their impact on GHG detection accuracy, thereby leaving a discernible gap in the comprehensive evaluation of instrument parameters specifically concerning the acquisition of atmospheric greenhouse gas concentration data by GAS-2. To address this knowledge gap, our study employs a radiation transfer model grounded in radiation transfer theory. This comprehensive investigation aims to quantitatively analyze the effects of various instrument parameters, encompassing crucial aspects such as spectral resolution, spectral sampling rate, signal-to-noise ratio, radiometric resolution, and spectral calibration accuracy (including instrument line shape function, central wavelength shift, and spectral resolution broadening). Based on our preliminary findings, it is evident that GAS-2 has the necessary spectral resolution, spectral sampling rate, and signal-to-noise ratio, slightly surpassing existing international instruments and enabling a significant detection accuracy level of 1 part per million (ppm). Moreover, it is essential to recognize the critical impact of instrument spectral calibration accuracy on overall detection precision. Among the five commonly used instrument line shape functions, the sinc function has the least impact on detection accuracy. Additionally, GAS-2’s radiance quantization depth is 14 bits, which is comparable to similar international payloads and maintains a root mean squared error below 0.1 ppm, thus ensuring a high level of precision. This study provides a comprehensive evaluation of the influence of GAS-2’s instrument parameters on detection accuracy, offering valuable insights for the future development of spectral calibration, the optimization of similar payload instrument parameters, and the overall improvement of instrument quantification capabilities.

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Section: Simulation Results Of Spectral Sampling Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2)

Li,

Cheng,

Yang

et al. 2023

Atmosphere

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show abstract

“…The interferogram is restored to the spectrum after preprocessing and phase correction. To ensure the accurate peak positioning of the spectral data, the original 500 valid data points are zero-filled to 2 14 . After zero-filling, the spectral resolution remains unchanged, and the spectral curve becomes smoother.…”

Section: The Laboratory Ilsf Experimentsmentioning

confidence: 99%

“…It represents the instrumental spectral resolution and the distribution of energy across spectral lines. Therefore, it is important to accurately obtain the ILSF of the spectrometer to precisely simulate the theoretical spectrum and quantitative retrieval [9,14]. When a Fourier transform spectrometer performs spectroscopy through spatial modulation, it is assumed that the theoretical ILSF for each spectral band is identical.…”

Section: Introductionmentioning

confidence: 99%

Research on Calculation Method of On-Orbit Instrumental Line Shape Function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B Satellite

Han,

Shi,

Luo

et al. 2024

Remote Sensing

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The Greenhouse Gases Monitoring Instrument is based on the spectroscopic principle of spatial heterodyne spectroscopy technology and has the characteristics of no moving parts, a hyperspectral resolution, and a large luminous flux. The instrumental line shape function is one of the most important parameters characterizing the features of the instrument, and it plays a vital role in the system error analysis of the instrument’s measurements. To accurately obtain the instrumental line shape function of a spatial heterodyne spectrometer during the on-orbit period and improve the accuracy of gas concentration retrieval, this study develops a method to model and characterize the characteristics of the instrumental line shape function, including modulation loss and phase error. This study employs the solar calibration spectrum in the 1.568–1.583 μm bands to conduct iterative calculations of the instrumental line shape function error model. After the instrumental line function is updated, the average relative deviation is reduced from 1.83% to 0.756% between the theoretical and measured solar spectra. Additionally, the average relative deviation is reduced from 7.049% to 2.106% between the GMI nadir and theoretical nadir spectra. The findings demonstrate that updating the instrumental line shape function mitigates the impact of variations in the spectrometer’s instrumental line shape due to alterations in the orbital environment. This study offers a dependable reference for both the enhancement and oversight of a spectrometer’s instrumental line shape function, along with an investigation of shifts in instrument parameters.

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“…[12]. When the Fourier-transform spectrometer performs spectroscopy through spatial modulation, it is assumed that the theoretical ILS for each spectral band is identical.…”

mentioning

confidence: 99%

Research on calculation method of on-orbit instrumental line shape function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B satellite

Han,

Shi,

et al. 2024

Preprint

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The Greenhouse Gases Monitoring Instrument is based on the spectroscopic principle of spatial heterodyne spectroscopy technology and has the characteristics of no moving parts, hyperspectral resolution, and large luminous flux. The instrumental line shape function is one of the important parameters characterizing the characteristics of the instrument and plays a vital role in the system error analysis of instrument measurement. To accurately obtain the instrumental line shape function of the spatial heterodyne spectrometer during on-orbit period and improve the accuracy of gas concentration retrieval, this paper develops a method to model and characterize the characteristics of the instrumental line shape function, including modulation loss and phase error. Utilizes the stability of solar observation spectrum wavelength and is not influenced by additional conditions to update the instrument line function. The Kurucz solar spectrum model used as the theoretical reference spectrum, selects the characteristic spectral lines corresponding to the measured solar calibration spectrum and the reference spectrum in the 1.568~1.583 μm band, and adjusts the instrumental line shape function model parameters, iterates the characteristic spectral lines residual, and calculates the instrumental line shape function variations. The updated instrumental line shape function has increased the average relative deviation between the theoretical simulated and measured solar spectrum from 1.83% to 0.756%, and the average relative deviation between the nadir observation spectrum and the simulated spectrum has increased from 7.049% to 2.106%. The findings demonstrate that updating the instrumental line shape function mitigates the impact of variations in the spectrometer's instrumental line shape due to alterations in the orbital environment. This offers a dependable reference for both the enhancement and oversight of the spectrometer's instrumental line shape function, along with the investigation of shifts in instrument parameters.

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Abilitiy Analysis of Spatial Heterodyne Spectrometer in Atmospheric CO2 Detection

Cited by 6 publications

References 0 publications

Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2)

Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2)

Research on Calculation Method of On-Orbit Instrumental Line Shape Function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B Satellite

Research on calculation method of on-orbit instrumental line shape function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B satellite

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