Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer

Ceilometers are originally designed for cloud base height monitoring. Since a few years, the number of ceilometers available worldwide is rapidly increasing, and these simple backscatter lidars are investigated to be used for aerosol research. This study presents an assessment of the potential of CY...

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Published in:Advances in Meteorology
Main Authors: Lei Liu, Ting Zhang, Yi Wu, Qi Wang, Taichang Gao
Format: Article in Journal/Newspaper
Language:English
Published: Advances in Meteorology 2018
Subjects:
Online Access:https://doi.org/10.1155/2018/9738197
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spelling fthindawi:oai:hindawi.com:10.1155/2018/9738197 2023-05-15T13:06:17+02:00 Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer Lei Liu Ting Zhang Yi Wu Qi Wang Taichang Gao 2018 https://doi.org/10.1155/2018/9738197 en eng Advances in Meteorology https://doi.org/10.1155/2018/9738197 Copyright © 2018 Lei Liu et al. Research Article 2018 fthindawi https://doi.org/10.1155/2018/9738197 2019-05-26T10:24:22Z Ceilometers are originally designed for cloud base height monitoring. Since a few years, the number of ceilometers available worldwide is rapidly increasing, and these simple backscatter lidars are investigated to be used for aerosol research. This study presents an assessment of the potential of CYY-2B ceilometer for the quantitative retrieval of aerosol properties. The signal-to-noise ratio of the ceilometer is calculated, and the effective height of inversion is determined. It is shown that the effective height of the ceilometer for backscatter coefficient profile inversion is 3-4 km at night and about 1.5–2 km during the day, which is lower than that of the micropulse lidar (MPL) system. The accuracy of the backscatter coefficient profiles derived from the CYY-2B ceilometer is analyzed by using the Vaisala CL51 ceilometer, MPL, forward scatter visibility instrument, and aerosol optical depth (AOD) dataset from aerosol robotic network (AERONET). Spectral conversions of the ceilometer’s and lidar’s data are performed using the Ångström exponent estimated by AERONET measurements. A good agreement is found between two ceilometers and the MPL lidar in backscatter coefficient profiles inversion. The AODs agree well with the AERONET AODs during the observation period of small AODs. However, for the period of large AODs, the results are approximately 50%–60% of AERONET AODs. The limited range of extinction integration is the main cause of this problem. Article in Journal/Newspaper Aerosol Robotic Network Hindawi Publishing Corporation Advances in Meteorology 2018 1 6
institution Open Polar
collection Hindawi Publishing Corporation
op_collection_id fthindawi
language English
description Ceilometers are originally designed for cloud base height monitoring. Since a few years, the number of ceilometers available worldwide is rapidly increasing, and these simple backscatter lidars are investigated to be used for aerosol research. This study presents an assessment of the potential of CYY-2B ceilometer for the quantitative retrieval of aerosol properties. The signal-to-noise ratio of the ceilometer is calculated, and the effective height of inversion is determined. It is shown that the effective height of the ceilometer for backscatter coefficient profile inversion is 3-4 km at night and about 1.5–2 km during the day, which is lower than that of the micropulse lidar (MPL) system. The accuracy of the backscatter coefficient profiles derived from the CYY-2B ceilometer is analyzed by using the Vaisala CL51 ceilometer, MPL, forward scatter visibility instrument, and aerosol optical depth (AOD) dataset from aerosol robotic network (AERONET). Spectral conversions of the ceilometer’s and lidar’s data are performed using the Ångström exponent estimated by AERONET measurements. A good agreement is found between two ceilometers and the MPL lidar in backscatter coefficient profiles inversion. The AODs agree well with the AERONET AODs during the observation period of small AODs. However, for the period of large AODs, the results are approximately 50%–60% of AERONET AODs. The limited range of extinction integration is the main cause of this problem.
format Article in Journal/Newspaper
author Lei Liu
Ting Zhang
Yi Wu
Qi Wang
Taichang Gao
spellingShingle Lei Liu
Ting Zhang
Yi Wu
Qi Wang
Taichang Gao
Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
author_facet Lei Liu
Ting Zhang
Yi Wu
Qi Wang
Taichang Gao
author_sort Lei Liu
title Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
title_short Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
title_full Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
title_fullStr Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
title_full_unstemmed Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer
title_sort accuracy analysis of the aerosol backscatter coefficient profiles derived from the cyy-2b ceilometer
publisher Advances in Meteorology
publishDate 2018
url https://doi.org/10.1155/2018/9738197
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation https://doi.org/10.1155/2018/9738197
op_rights Copyright © 2018 Lei Liu et al.
op_doi https://doi.org/10.1155/2018/9738197
container_title Advances in Meteorology
container_volume 2018
container_start_page 1
op_container_end_page 6
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