Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign

<p>Aerosol lidar networks can play an important role in revealing structural characteristics of the atmospheric boundary layer, the urban heat island effect, and the spatial distribution of aerosols, especially in relation to the monitoring of atmospheric pollution in megacities. To fulfill th...

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Main Authors: L. Wang, Z. Yin, Z. Bu, A. Wang, S. Mao, Y. Yi, D. Müller, Y. Chen, X. Wang
Format: Article
Language:English
Published: Copernicus Publications 2023-09-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/16/4307/2023/amt-16-4307-2023.pdf
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author L. Wang
Z. Yin
Z. Bu
A. Wang
S. Mao
Y. Yi
D. Müller
Y. Chen
X. Wang
X. Wang
author_facet L. Wang
Z. Yin
Z. Bu
A. Wang
S. Mao
Y. Yi
D. Müller
Y. Chen
X. Wang
X. Wang
author_sort L. Wang
collection DOAJ
description <p>Aerosol lidar networks can play an important role in revealing structural characteristics of the atmospheric boundary layer, the urban heat island effect, and the spatial distribution of aerosols, especially in relation to the monitoring of atmospheric pollution in megacities. To fulfill the need of the monitoring and numerical forecasting of atmospheric pollution, an aerosol lidar network is proposed by the China Meteorological Administration which serves as an important part of the “MegaCity Experiment on Integrated Meteorological Observation in China” (MEMO). To ensure a high standard of data quality and traceability of measurement error, an inter-comparison campaign, dedicated to the quality assessment of lidar systems from different institutes and manufacturers, was designed and performed at Beijing Southern Suburb Observatory in September 2021. Six Mie–Rayleigh lidar systems at 1064 nm were involved in this campaign. The strategies for lidar self-evaluations and inter-comparisons were predefined. A lidar system at 1064 nm, which was developed by the Atmospheric Remote Sensing group at Wuhan University, was selected as the reference lidar system after passing all strict self-evaluation quality checks. The reference lidar system serves as the cornerstone for evaluating the performance of other lidar systems. After using the Rayleigh fit and signal-to-noise evaluation self-tests for each individual lidar system as a fast check of the data quality, the range-corrected signal and backscatter coefficient obtained from all the lidar systems were inter-compared with a reference lidar system. In the end, the lidar systems passed the quality control/assurance, ensuring that the standard deviation of range-corrected signal could be controlled within 5 % at 500–2000 m and 10 % at 2000–5000 m. For the derived aerosol backscatter coefficients, standard deviations can be controlled within 10 % at 500–2000 and 2000–5000 m. The quality assurance strategy lays down a solid basis for atmospheric lidar at near-infrared wavelengths and will be applied in Chinese lidar network development.</p>
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spelling doaj.art-b020091f5f764f358d9241cb076ff9c42023-09-28T12:49:24ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482023-09-01164307431810.5194/amt-16-4307-2023Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaignL. Wang0Z. Yin1Z. Bu2A. Wang3S. Mao4Y. Yi5D. Müller6Y. Chen7X. Wang8X. Wang9School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaMeteorological Observation Center, China Meteorological Administration, 46 South Zhongguan Road, Beijing 100081, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaMeteorological Observation Center, China Meteorological Administration, 46 South Zhongguan Road, Beijing 100081, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaWuhan Institute of Quantum Technology, Wuhan 430206, China​​​​​​​<p>Aerosol lidar networks can play an important role in revealing structural characteristics of the atmospheric boundary layer, the urban heat island effect, and the spatial distribution of aerosols, especially in relation to the monitoring of atmospheric pollution in megacities. To fulfill the need of the monitoring and numerical forecasting of atmospheric pollution, an aerosol lidar network is proposed by the China Meteorological Administration which serves as an important part of the “MegaCity Experiment on Integrated Meteorological Observation in China” (MEMO). To ensure a high standard of data quality and traceability of measurement error, an inter-comparison campaign, dedicated to the quality assessment of lidar systems from different institutes and manufacturers, was designed and performed at Beijing Southern Suburb Observatory in September 2021. Six Mie–Rayleigh lidar systems at 1064 nm were involved in this campaign. The strategies for lidar self-evaluations and inter-comparisons were predefined. A lidar system at 1064 nm, which was developed by the Atmospheric Remote Sensing group at Wuhan University, was selected as the reference lidar system after passing all strict self-evaluation quality checks. The reference lidar system serves as the cornerstone for evaluating the performance of other lidar systems. After using the Rayleigh fit and signal-to-noise evaluation self-tests for each individual lidar system as a fast check of the data quality, the range-corrected signal and backscatter coefficient obtained from all the lidar systems were inter-compared with a reference lidar system. In the end, the lidar systems passed the quality control/assurance, ensuring that the standard deviation of range-corrected signal could be controlled within 5 % at 500–2000 m and 10 % at 2000–5000 m. For the derived aerosol backscatter coefficients, standard deviations can be controlled within 10 % at 500–2000 and 2000–5000 m. The quality assurance strategy lays down a solid basis for atmospheric lidar at near-infrared wavelengths and will be applied in Chinese lidar network development.</p>https://amt.copernicus.org/articles/16/4307/2023/amt-16-4307-2023.pdf
spellingShingle L. Wang
Z. Yin
Z. Bu
A. Wang
S. Mao
Y. Yi
D. Müller
Y. Chen
X. Wang
X. Wang
Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
Atmospheric Measurement Techniques
title Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
title_full Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
title_fullStr Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
title_full_unstemmed Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
title_short Quality assessment of aerosol lidars at 1064&thinsp;nm in the framework of the MEMO campaign
title_sort quality assessment of aerosol lidars at 1064 thinsp nm in the framework of the memo campaign
url https://amt.copernicus.org/articles/16/4307/2023/amt-16-4307-2023.pdf
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