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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

Sun, Youwen and Liu, Cheng and Chan, Ka Lok and Wang, Wei and Shan, Changong and Hu, Qihou and Liu, Jianguo (2018) The Influence of Instrumental Line Shape Degradation on the Partial Columns of O3, CO, CH4 and N2O Derived from High-Resolution FTIR Spectrometry. Remote Sensing, 10 (12), pp. 1-14. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10122041 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/10/12/2041

Abstract

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.

Item URL in elib:https://elib.dlr.de/129095/
Document Type:Article
Title:The Influence of Instrumental Line Shape Degradation on the Partial Columns of O3, CO, CH4 and N2O Derived from High-Resolution FTIR Spectrometry
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sun, YouwenAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Liu, ChengUniversity of Science and Technology of ChinaUNSPECIFIED
Chan, Ka Lokka.chan (at) dlr.deUNSPECIFIED
Wang, WeiAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Shan, ChangongAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Hu, QihouAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Liu, JianguoAnhui Institute of Optics and Fine MechanicsUNSPECIFIED
Date:14 December 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.3390/rs10122041
Page Range:pp. 1-14
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:FTIR, ILS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Chan, Ka Lok
Deposited On:23 Sep 2019 12:09
Last Modified:14 Dec 2019 04:27

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