Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations

<p>Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) is a state-of-the-art remote sensing technique for deriving vertical profiles of trace gases and aerosols. However, MAX-DOAS profile inversions under aerosol pollution scenarios are challenging because of the co...

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Main Authors: X. Tian, Y. Wang, S. Beirle, P. Xie, T. Wagner, J. Xu, A. Li, S. Dörner, B. Ren, X. Li
Format: Article
Language:English
Published: Copernicus Publications 2021-08-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/12867/2021/acp-21-12867-2021.pdf
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author X. Tian
X. Tian
Y. Wang
Y. Wang
S. Beirle
P. Xie
P. Xie
P. Xie
P. Xie
T. Wagner
J. Xu
A. Li
S. Dörner
B. Ren
B. Ren
X. Li
author_facet X. Tian
X. Tian
Y. Wang
Y. Wang
S. Beirle
P. Xie
P. Xie
P. Xie
P. Xie
T. Wagner
J. Xu
A. Li
S. Dörner
B. Ren
B. Ren
X. Li
author_sort X. Tian
collection DOAJ
description <p>Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) is a state-of-the-art remote sensing technique for deriving vertical profiles of trace gases and aerosols. However, MAX-DOAS profile inversions under aerosol pollution scenarios are challenging because of the complex radiative transfer and limited information content of the measurements. In this study, the performances of two inversion algorithms were evaluated for various aerosol pollution scenarios based on synthetic slant column densities (SCDs) derived from radiative transfer simulations. Compared to previous studies, in our study, much larger ranges of aerosol optical depth (AOD) and NO<span class="inline-formula"><sub>2</sub></span> vertical column densities (VCDs) are covered. One inversion algorithm is based on optimal estimation; the other uses a parameterized approach. In this analysis, three types of profile shapes for aerosols and NO<span class="inline-formula"><sub>2</sub></span> were considered: exponential, Boltzmann, and Gaussian. First, the systematic deviations of the retrieved aerosol profiles from the input profiles were investigated. For most cases, the AODs of the retrieved profiles were found to be systematically lower than the input values, and the deviations increased with increasing AOD. In particular for the optimal estimation algorithm and for high AOD, these findings are consistent with the results in previous studies. The assumed single scattering albedo (SSA) and asymmetry parameter (AP) have a systematic influence on the aerosol retrieval. However, for most cases the influence of the assumed SSA and AP on the retrieval results are rather small (compared to other uncertainties). For the optimal estimation algorithm, the agreement with the input values can be improved by optimizing the covariance matrix of the a priori uncertainties. Second, the aerosol effects on the NO<span class="inline-formula"><sub>2</sub></span> profile retrieval were tested. Here, especially for the optimal estimation algorithm, a systematic dependence on the NO<span class="inline-formula"><sub>2</sub></span> VCD was found, with a strong relative overestimation of the retrieved results for low NO<span class="inline-formula"><sub>2</sub></span> VCDs and an underestimation for high NO<span class="inline-formula"><sub>2</sub></span> VCDs. In contrast, the dependence on the aerosol profiles was found to be rather low. Interestingly, the results for both investigated wavelengths (360 and 477 nm) were found to be rather similar, indicating that the differences in the radiative transfer between both wavelengths have no strong effect. In general, both inversion schemes can retrieve<span id="page12868"/> the near-surface values of aerosol extinction and trace gas concentrations well.</p>
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spelling doaj.art-553a78d5d82e4de381366f3d5ee3428b2022-12-21T21:32:48ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-08-0121128671289410.5194/acp-21-12867-2021Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulationsX. Tian0X. Tian1Y. Wang2Y. Wang3S. Beirle4P. Xie5P. Xie6P. Xie7P. Xie8T. Wagner9J. Xu10A. Li11S. Dörner12B. Ren13B. Ren14X. Li15Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, ChinaKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, ChinaMax Planck Institute for Chemistry, 55128 Mainz, Germanynow at: EUMETSAT, Darmstadt, GermanyMax Planck Institute for Chemistry, 55128 Mainz, GermanyKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, ChinaCAS Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, ChinaUniversity of Chinese Academy of Sciences, Beijing, 100049, ChinaSchool of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, ChinaMax Planck Institute for Chemistry, 55128 Mainz, GermanyKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, ChinaKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, ChinaMax Planck Institute for Chemistry, 55128 Mainz, GermanyKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, ChinaSchool of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, ChinaKey Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, 230031, China<p>Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) is a state-of-the-art remote sensing technique for deriving vertical profiles of trace gases and aerosols. However, MAX-DOAS profile inversions under aerosol pollution scenarios are challenging because of the complex radiative transfer and limited information content of the measurements. In this study, the performances of two inversion algorithms were evaluated for various aerosol pollution scenarios based on synthetic slant column densities (SCDs) derived from radiative transfer simulations. Compared to previous studies, in our study, much larger ranges of aerosol optical depth (AOD) and NO<span class="inline-formula"><sub>2</sub></span> vertical column densities (VCDs) are covered. One inversion algorithm is based on optimal estimation; the other uses a parameterized approach. In this analysis, three types of profile shapes for aerosols and NO<span class="inline-formula"><sub>2</sub></span> were considered: exponential, Boltzmann, and Gaussian. First, the systematic deviations of the retrieved aerosol profiles from the input profiles were investigated. For most cases, the AODs of the retrieved profiles were found to be systematically lower than the input values, and the deviations increased with increasing AOD. In particular for the optimal estimation algorithm and for high AOD, these findings are consistent with the results in previous studies. The assumed single scattering albedo (SSA) and asymmetry parameter (AP) have a systematic influence on the aerosol retrieval. However, for most cases the influence of the assumed SSA and AP on the retrieval results are rather small (compared to other uncertainties). For the optimal estimation algorithm, the agreement with the input values can be improved by optimizing the covariance matrix of the a priori uncertainties. Second, the aerosol effects on the NO<span class="inline-formula"><sub>2</sub></span> profile retrieval were tested. Here, especially for the optimal estimation algorithm, a systematic dependence on the NO<span class="inline-formula"><sub>2</sub></span> VCD was found, with a strong relative overestimation of the retrieved results for low NO<span class="inline-formula"><sub>2</sub></span> VCDs and an underestimation for high NO<span class="inline-formula"><sub>2</sub></span> VCDs. In contrast, the dependence on the aerosol profiles was found to be rather low. Interestingly, the results for both investigated wavelengths (360 and 477 nm) were found to be rather similar, indicating that the differences in the radiative transfer between both wavelengths have no strong effect. In general, both inversion schemes can retrieve<span id="page12868"/> the near-surface values of aerosol extinction and trace gas concentrations well.</p>https://acp.copernicus.org/articles/21/12867/2021/acp-21-12867-2021.pdf
spellingShingle X. Tian
X. Tian
Y. Wang
Y. Wang
S. Beirle
P. Xie
P. Xie
P. Xie
P. Xie
T. Wagner
J. Xu
A. Li
S. Dörner
B. Ren
B. Ren
X. Li
Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
Atmospheric Chemistry and Physics
title Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
title_full Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
title_fullStr Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
title_full_unstemmed Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
title_short Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations
title_sort technical note evaluation of profile retrievals of aerosols and trace gases for max doas measurements under different aerosol scenarios based on radiative transfer simulations
url https://acp.copernicus.org/articles/21/12867/2021/acp-21-12867-2021.pdf
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