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Analysis and Correction of On-Orbit Spectral Drift of FY-3E Solar
Spectral Irradiance Monitor Visible Band |
TAN Xiao-feng1, 2, QI Jin2, 3, 4*, LI Zhan-feng5, ZHANG Peng6, 7* |
1. Chinese Academy of Meteorological Sciences, Beijing 100081, China
2. National Satellite Meteorological Center (National Center for Space Weather), Beijing 100081, China
3. Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
4. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China
5. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
6. Meteorological Observation Center, China Meteorological Administration, Beijing 100081, China
7. State Key Laboratory of Environment Characteristics and Effects for Near-Space, Beijing 100081, China
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Abstract The Solar spectral irradiance monitor (SSIM) is China's first spaceborne solar irradiance spectrometer designed to measure solar continuum spectrumat the top of the atmosphere. It is mounted on the Fengyun-3E (FY-3E) satellite, the fifth satellite in the second generation of Chinese polar-orbit meteorological satellites. SSIM covers a spectral range from 165 to 2 400 nm, with a spectral resolution of 1 nm and sampling intervals of 0.1 and 0.25 nm in the ultraviolet and visible bands, which can capture fine solar spectrum characteristics of the sun. This study evaluated the spectral calibration accuracy of the SSIM visible band using the latest Total and Spectral Solar Irradiance Sensor-1 Hybrid Solar Reference Spectrum (TSIS-1 HSRS) as reference, with measurements from September 2021 to November 2023. By convoluting the pre-launch spectral slit function with TSIS-1 HSRS, a reference spectrum was generated to match the SSIM's characteristics. Using the spectrum matching method, nine solar Fraunhofer lines were selected to characterize wavelength shifts. The temporalvariationof spectral drift was analyzed, and a refined correction method was developed to improvethe spectral calibration accuracy of SSIM. Considering the characteristics of the early morning orbit, the annual variation of the Doppler shift was first analyzed, revealing the maximum wavelength shift of -0.005 to 0.001nm at 700 nm. Based on the assessment results of the Fraunhofer lines, the long-term variation of wavelength shifts in the visible band exhibited periodic fluctuations, with the shift of 410 nm varying from -0.032 to 0.025 nm compared to the initial on-orbit state. Further analysis indicates that the spectral driftis strongly correlated with the periodic fluctuations in the grating temperature of SSIM, with correlation coefficients between the wavelength shifts of the Fraunhofer lines and the grating temperature ranging from -0.766 to -0.964. Considering the drift characteristics on different spectral regions, the method of segmenting and sliding to calculate wavelength shifts and then fitting them for correction has been applied to the SSIM visible band, which shows that the results of spectral calibration accuracy are better than 0.028 nm. This method eliminates the impact of satellite launch, environmental changes on spectral accuracy, and also temperature fluctuations induced spectral drift. It has good long-term stability and effectively improves the on-orbit spectral calibration accuracy of SSIM. This paper provides a reference for the research on the on-orbit spectral calibration of wide-band solar spectrometers.
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Received: 2024-09-30
Accepted: 2025-02-17
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Corresponding Authors:
QI Jin, ZHANG Peng
E-mail: zhangp@cma.gov.cn; qijin@cma.gov.cn
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[1] XIAO Zi-niu(肖子牛). Chinese Journal of Nature(自然杂志),2021,43(6):408.
[2] DING Yi-hui(丁一汇). Meteorological Monthly(气象), 2019, 45(3): 297.
[3] Ermolli I, Matthes K, de Wit T D, et al. Atmospheric Chemistryand Physics, 2013, 13(8): 3945.
[4] Thuillier G, Zhu P, Snow M, et al. Light-Science & Applications, 2022, 11(1): 79.
[5] Zhang P, Hu X Q, Sun L, et al. Bulletin of the American Meteorological Society, 2024, 105(1): E144.
[6] Zhang P, Hu X Q, Lu Q F, et al. Advances in Atmospheric Sciences, 2022, 39(1): 1.
[7] LI Zhan-feng, WANG Shu-rong, HUANG Yu, et al(李占峰, 王淑荣, 黄 煜, 等). Acta Optica Sinica(光学学报), 2013, 33(2): 0228002.
[8] Kang M, Ahn M H, Liu X, et al. Remote Sensing, 2020, 12(17): 2846.
[9] WANG Hong-bo, HUANG Xiao-xian, FANG Chen-yan, et al(王宏博, 黄小仙, 房陈岩, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2018, 38(1): 296.
[10] BI Yan-meng, WANG Qian, YANG Zhong-dong, et al(毕研盟, 王 倩, 杨忠东, 等). Chinese Journal of Atmospheric Sciences(大气科学), 2022, 46(3): 645.
[11] ZHANG Ya-qiong, ZHANG Wen-juan, CHEN Zheng-chao, et al(张雅琼, 张文娟, 陈正超, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2015, 34(3): 360.
[12] Coddington O M, Richard E C, Harber D, et al. Geophysical Research Letters, 2021, 48(12): e2020GL091709. |
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