Preprints
https://doi.org/10.5194/egusphere-2023-2138
https://doi.org/10.5194/egusphere-2023-2138
10 Oct 2023
 | 10 Oct 2023

Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations

Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh

Abstract. The quantitative analysis of measurements with horizontally scanning aerosol lidar instruments faces two major challenges: the background correction can be affected by abnormal signal peaks and the choice of a reference extinction coefficient αref is complicated if aerosols are ubiquitous in the sampled volume. Here, we present the newly-developed multi-section method for the stable solution of extinction coefficient retrievals from horizontally scanning lidar measurements. The algorithm removes irregular peaks related to signal noise based on an experimentally derived fitting model. A representative value for αref is inferred from converging retrievals along different scan axes and over multiple scans of 10 to 15 min under the assumption that they are related only to ambient aerosols without distinct emission sources. Consequently, αref obtained through the multisection method reflects typical atmospheric aerosols unaffected by emissions and noise. When comparing αref to the PM2.5 mass concentrations at national monitoring stations near the measurement area, a significant correlation with an r-squared value exceeding 0.74 was observed. The presented case studies show that the new method allows for the retrieval and visualization of spatio-temporal aerosol distributions and subsequent products such as PM2.5 concentrations.

Journal article(s) based on this preprint

19 Jan 2024
Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024,https://doi.org/10.5194/amt-17-397-2024, 2024
Short summary
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2138', Anonymous Referee #2, 14 Oct 2023
    • AC1: 'Reply on RC1', Youngmin Noh, 03 Nov 2023
  • RC2: 'Comment on egusphere-2023-2138', Anonymous Referee #1, 23 Oct 2023
    • AC2: 'Reply on RC2', Youngmin Noh, 03 Nov 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2138', Anonymous Referee #2, 14 Oct 2023
    • AC1: 'Reply on RC1', Youngmin Noh, 03 Nov 2023
  • RC2: 'Comment on egusphere-2023-2138', Anonymous Referee #1, 23 Oct 2023
    • AC2: 'Reply on RC2', Youngmin Noh, 03 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Youngmin Noh on behalf of the Authors (21 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Nov 2023) by Vassilis Amiridis
AR by Youngmin Noh on behalf of the Authors (04 Dec 2023)  Manuscript 

Journal article(s) based on this preprint

19 Jan 2024
Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024,https://doi.org/10.5194/amt-17-397-2024, 2024
Short summary
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
We introduce the Multi-Section Method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements in this study. Our method effectively removes signal noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.