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The Influence of Instrumental Line Shape Degradation on the Partial Columns of O3, CO,CH4 and N2O Derived from High-Resolution FTIR spectrometry

DOI:10.3390/rs10122041 期刊:Remote Sensing 出版年份:2018 更新时间:2025-09-23 15:23:52
摘要: High resolution Fourier transform infrared (FTIR) measurement of direct sunlight does not only provide information of trace gas total columns, but also vertical distribution. Measured O3, CO, CH4, and N2O can be separated into multiple partial columns using the optimal estimation method (OEM). The retrieval of trace gas profiles is sensitive to the instrument line shape (ILS) of the FTIR spectrometer. In this paper, we present an investigation of the influence of ILS degradation on the partial column retrieval of O3, CO, CH4, and N2O. Sensitivities of the partial column, error, and degrees of freedom (DOFs) of each layer to different levels of ILS degradation for O3, CO, CH4, and N2O are estimated. We then evaluate the impact of ILS degradation on the long-term measurements. In addition, we derive the range of ILS degradation corresponding to the acceptable uncertainties of O3, CO, CH4, and N2O results. The results show that the uncertainties induced by the ILS degradation on the absolute value, error, and the DOFs of the partial column are altitude and gas species dependent. The uncertainties of the partial columns of O3 and CO are larger than those on CH4 and N2O. The stratospheric partial columns are more sensitive to the ILS degradation compared to the tropospheric part. Our result improves the understanding of the ILS degradation on the FTIR measurements, which is important for the quantification of the measurement uncertainties and minimizes the bias of the inter-comparison between different measurement platforms. This is especially useful for the validation of satellite observations, the data assimilation of chemical model simulations, and the quantification of the source/sink/trend from the FTIR measurements.
作者: Youwen Sun,Cheng Liu,Kalok Chan,Wei Wang,Changong Shan,Qihou Hu,Jianguo Liu
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To investigate the influence of instrumental line shape (ILS) degradation on the partial columns of O3, CO, CH4, and N2O derived from high-resolution FTIR spectrometry and deduce the range of ILS degradation corresponding to acceptable uncertainties.

The influence of ILS degradation on partial columns is altitude and gas species dependent, with larger uncertainties for O3 and CO and greater sensitivity in the stratosphere. Recommendations for maximum ILS deviations to limit errors within 2% are provided, emphasizing the need for precise ILS measurements in retrievals to improve accuracy in atmospheric monitoring and validation efforts.

The study is limited to specific gases (O3, CO, CH4, N2O) and a single location (Hefei, China). The simulations assume certain ILS degradation types and levels, which may not cover all real-world scenarios. The retrieval settings follow NDACC standards, but variations in instruments or conditions could affect generalizability.

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