Preflight Spectral Calibration of the Orbiting Carbon Observatory 2

Preflight Spectral Calibration of the Orbiting Carbon Observatory 2
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DOI:
10.1109/tgrs.2016.2645614
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发表时间:
2017-01
影响因子:
8.2
通讯作者:
Richard A. M. Lee;C. O’Dell;D. Wunch;C. Roehl;G. Osterman;J. Blavier;R. Rosenberg;L. Chapsky;C. Frankenberg;Sarah L. Hunyadi-Lay;B. Fisher;D. Rider;D. Crisp;R. Pollock
Richard A. M. Lee;C. O’Dell;D. Wunch;C. Roehl;G. Osterman;J. Blavier;R. Rosenberg;L. Chapsky;C. Frankenberg;Sarah L. Hunyadi-Lay;B. Fisher;D. Rider;D. Crisp;R. Pollock
中科院分区:
工程技术1区
文献类型:
--
作者:
Richard A. M. Lee;C. O’Dell;D. Wunch;C. Roehl;G. Osterman;J. Blavier;R. Rosenberg;L. Chapsky;C. Frankenberg;Sarah L. Hunyadi-Lay;B. Fisher;D. Rider;D. Crisp;R. Pollock

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本文描述了轨道碳观测站 2 (OCO-2) 的飞行前光谱校准方法和结果,遵循为第一个 OCO 开发的方法。通过基于激光的光谱测量确定仪器线形(ILS)函数和色散参数,然后通过比较OCO-2飞行仪器和并置的高分辨率傅里叶变换光谱仪(FTS)在地面上同时记录的太阳光谱来进一步优化。当应用于 FTS 太阳数据时,所得的 ILS 剖面和色散参数显示光谱仪和 FTS 记录的光谱之间的一致性约为 0.2% RMS,满足 <0.25% RMS 的飞行前光谱校准精度要求。与原始OCO相比,OCO-2仪器和校准过程的具体变化包括杂散光保护;改进的激光设置;增加光谱采样;增强数据筛选,并逐步改进 ILS、离散度和 FTS 优化分析。
This paper describes the preflight spectral calibration methods and results for the Orbiting Carbon Observatory 2 (OCO-2), following the approach developed for the first OCO. The instrument line shape (ILS) function and dispersion parameters were determined through laser-based spectroscopic measurements, and then further optimized by comparing solar spectra recorded simultaneously on the ground by the OCO-2 flight instrument and a collocated high-resolution Fourier transform spectrometer (FTS). The resulting ILS profiles and dispersion parameters, when applied to the FTS solar data, showed agreement between the spectra recorded by the spectrometers and FTS to approximately 0.2% RMS, satisfying the preflight spectral calibration accuracy requirement of <0.25% RMS. Specific changes to the OCO-2 instrument and calibration process, compared to the original OCO, include stray-light protection; improved laser setup; increased spectral sampling; enhanced data screening, and incremental improvements in the ILS, dispersion, and FTS optimization analyses.