Articles | Volume 19, issue 2
https://doi.org/10.5194/amt-19-389-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Hygroscopic growth characteristics of anthropogenic aerosols over central China revealed by lidar observations
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- Final revised paper (published on 19 Jan 2026)
- Preprint (discussion started on 16 Oct 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2025-4965', Anonymous Referee #1, 12 Dec 2025
- AC2: 'Reply on RC1', Dongzhe Jing, 30 Dec 2025
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RC2: 'Comment on egusphere-2025-4965', Anonymous Referee #2, 24 Dec 2025
- AC1: 'Reply on RC2', Dongzhe Jing, 30 Dec 2025
- AC2: 'Reply on RC1', Dongzhe Jing, 30 Dec 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Dongzhe Jing on behalf of the Authors (30 Dec 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (04 Jan 2026) by Daniel Perez-Ramirez
RR by Anonymous Referee #1 (12 Jan 2026)
ED: Publish as is (13 Jan 2026) by Daniel Perez-Ramirez
AR by Dongzhe Jing on behalf of the Authors (13 Jan 2026)
Author's response
Manuscript
This manuscript presents a valuable long-term study of aerosol hygroscopicity in Wuhan, Central China, utilizing a 15-year dataset of ground-based polarization lidar observations. The authors successfully identify 192 cases of hygroscopic growth and provide a detailed statistical analysis of the hygroscopic growth parameter, exploring its inter-annual trends, seasonal variations, and vertical distribution.
The contribution of this work is significant. Long-term, vertically resolved datasets of aerosol hygroscopicity are rare, and this study offers critical insights into how emission control policies, specifically the shifting ratio of NO2 to SO2, may be altering the optical properties of urban aerosols over time. The approach of combining lidar with radiosonde and reanalysis data is sound, and the manuscript is generally well-structured and clear.
However, to ensure the robustness of the retrieved optical properties and the subsequent hygroscopic parameters, I have a few specific concerns regarding the retrieval assumptions and aerosol classification methods. Addressing the following points would strengthen the physical interpretation of the results.
1. The study utilizes the POLIPHON method to separate dust and non-dust (anthropogenic) components. However, the manuscript does not explicitly state the specific particle depolarization ratios for pure dust and non-dust used for this separation. Since the derived non-dust backscatter coefficient is highly sensitive to these threshold values, please explicitly list them in the methodology section.
2. The methodology assumes that dust and non-dust aerosols are externally mixed. In a humid environment like Wuhan, it is common for dust particles to become internally mixed (e.g., coated) with soluble pollutants during transport. This coating process typically lowers the particle depolarization ratio of the dust. Could the POLIPHON method be misclassifying these "coated dust" particles as "anthropogenic" due to their reduced depolarization? If misclassification occurs, the "non-dust" component would be contaminated by less hygroscopic dust cores. Could this artificially lower the reported hygroscopicity of the anthropogenic component? A brief discussion on this potential contamination and its impact on the final statistics would be very helpful.
3. The particle backscatter coefficient is retrieved using a fixed lidar ratio of 50 sr. This assumption requires further elaboration. As aerosols absorb water and grow, their microphysical properties (size distribution, refractive index, shape) change, which typically causes the lidar ratio to vary rather than remain constant. Please discuss or quantify the potential error introduced by holding this value fixed during humidification events. A simple sensitivity analysis showing how a varying lidar ratio affects the calculated hygroscopic growth parameter would improve the robustness of the conclusions.
I hope my comments can be helpful in refining this interesting study.