Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-4231-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Investigation of aerosol transport flux structure over Beijing based on lidar observations and the impact of dust transport on air quality
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- Final revised paper (published on 26 Mar 2026)
- Preprint (discussion started on 04 Dec 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-2025-4789', Anonymous Referee #1, 19 Dec 2025
- AC1: 'Reply on RC1', Longlong Wang, 28 Jan 2026
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RC2: 'Comment on egusphere-2025-4789', Anonymous Referee #2, 22 Dec 2025
- AC2: 'Reply on RC2', Longlong Wang, 28 Jan 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Longlong Wang on behalf of the Authors (28 Jan 2026)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (04 Feb 2026) by Andreas Petzold
RR by Anonymous Referee #1 (09 Feb 2026)
RR by Anonymous Referee #2 (12 Feb 2026)
ED: Publish subject to minor revisions (review by editor) (12 Feb 2026) by Andreas Petzold
AR by Longlong Wang on behalf of the Authors (15 Feb 2026)
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to technical corrections (19 Mar 2026) by Andreas Petzold
AR by Longlong Wang on behalf of the Authors (21 Mar 2026)
Manuscript
General comment
This work use Lidar measurements to investigate vertical and horizontal fluxes of aerosol in a specific event discussing how this approach may be useful to gain information on air quality. The topic is of interest and suitable for the Journal but some aspects are not clear, including why limiting the study to a single event. I suggest to consider the paper for publication after a revision step addressing my comments.
Specific comments
One aspect that should be discussed i show the single case illustrated in this work has been selected and why it has not been decided to investigate several cases to make a more robust analysis as it is usually done in studies of fluxes.
One of the difference compared to in-situ eddy-covariance is the variable height. In measurements at a fixed height there is a certain footprint that influence measurements of vertical fluxes and it is possible to understand the role of ground level sources inside the footprint. With the approach proposed here it is possible to estimate the spatial representativeness of the measurements? I imagine that this would be depending on height so that local ground source will have a smaller and smaller influence at higher levels. This aspect should be mentioned.
Lines 97-100. Actually eddy-covariance is not included in ACTRIS measurements even if they are sometimes done in ACTRIS stations.
Line 145. Why the azimuth range is limited to 300°? Could this influence the calculation of horizontal fluxes or having some blind zones?
In section 2.3. The notation used with v vertical velocity is quite unusual and confounding because this is generally used w in all eddy-covariance studies that I have seen. In line 221 m’(z) is repeated two time. In addition, it would be mentioned clearly what is the data acquisition frequency in measurements of fluctuations. The fluctuations are measured on which volume? It is small enough to include the vortices mainly contributing to fluxes or there is some kind of losses due to spatial or temporal averages.
Line 403. I do not see how this work could help in studying aerosol transformation mechanisms.
Line 501. Better Meteorological factors exert a significant effect on aerosol concentrations. This because there is not any real regulation nor an effect on emissions at the sources.