研究目的
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.
研究成果
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.
研究不足
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.
1:Experimental Design and Method Selection:
Used the ALIGN60 raytracing model to simulate ILS degradation in a high-resolution FTIR spectrometer, selecting ILS i and j to represent negative and positive modulation efficiency (ME) degradation. Incorporated simulated ILS into the SFIT4 algorithm for profile retrieval using the optimal estimation method (OEM).
2:Sample Selection and Data Sources:
Selected spectra from routine measurements in Hefei, China, including a case study with spectra from February 16, 2016, and a consistency evaluation with data from August 2015 to August 2016. Meteorological data from NCEP database.
3:Meteorological data from NCEP database.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: FTIR spectrometer (not specified model or brand), ALIGN60 software, SFIT4 software (version 0.9.4.4), spectroscopic parameters from HITRAN 2008, a priori profiles from WACCM and NCEP/NCAR reanalysis.
4:4), spectroscopic parameters from HITRAN 2008, a priori profiles from WACCM and NCEP/NCAR reanalysis.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Simulated seven levels of ILS i and j using ALIGN60, incorporated into SFIT forward model, calculated fractional differences in partial column, error, and DOFs relative to ideal ILS retrieval. Defined partial layers based on averaging kernel matrices.
5:Data Analysis Methods:
Calculated sensitivities and variabilities using fractional differences, statistical analysis (mean ± standard deviation), and derived acceptable ILS degradation limits.
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