Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-397-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-397-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jan 2024
Research article |
| 19 Jan 2024
| 19 Jan 2024
Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Juseon Shin
Division of Earth Environmental System Science, Pukyong National University, Busan, Republic of Korea
Gahyeong Kim
Division of Earth Environmental System Science, Pukyong National University, Busan, Republic of Korea
Dukhyeon Kim
School of Basic Science, Hanbat National University, Daejeon, Republic of Korea
Matthias Tesche
Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany
Gahyeon Park
Division of Earth Environmental System Science, Pukyong National University, Busan, Republic of Korea
Youngmin Noh
CORRESPONDING AUTHOR
Division of Earth Environmental System Science, Pukyong National University, Busan, Republic of Korea
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Goutam Choudhury, Bhishma Tyagi, Naresh Krishna Vissa, Jyotsna Singh, Chandan Sarangi, Sachchida Nand Tripathi, and Matthias Tesche
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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.
We introduce the multi-section method, a novel approach for stable extinction coefficient...
