Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-763-2024
© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.
A multi-scenario Lagrangian trajectory analysis to identify source regions of the Asian tropopause aerosol layer on the Indian subcontinent in August 2016
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- Final revised paper (published on 18 Jan 2024)
- Preprint (discussion started on 12 Apr 2023)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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- RC1: 'Comment on egusphere-2022-1462', Anonymous Referee #2, 15 May 2023
- RC2: 'Comment on egusphere-2022-1462', Anonymous Referee #1, 26 May 2023
- AC1: 'Comment on egusphere-2022-1462', Jan Heinrich Clemens, 22 Jun 2023
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jan Heinrich Clemens on behalf of the Authors (22 Jun 2023)
Author's response
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ED: Referee Nomination & Report Request started (05 Aug 2023) by Nikos Hatzianastassiou
RR by Anonymous Referee #2 (17 Aug 2023)
ED: Publish subject to minor revisions (review by editor) (12 Oct 2023) by Barbara Ervens
AR by Jan Heinrich Clemens on behalf of the Authors (20 Oct 2023)
Author's response
Author's tracked changes
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ED: Publish as is (21 Oct 2023) by Barbara Ervens
AR by Jan Heinrich Clemens on behalf of the Authors (23 Oct 2023)
Manuscript
The paper addresses the interesting topic of the Asian tropopause aerosol layer (ATAL). The presented results provide interesting information regarding the source regions and the transport pathways of the ATAL based on balloon-borne measurements and two Lagrangian transport models driven by different reanalysis data (ERA5, ERA-interim) and model parameterisations/setups. The investigation of the ATAL is a topic of many studies during the last years. The added value of the present paper is the thorough intercomparison between the results obtained with different simulation scenarios (with different Langrangian model employed, the use of different reanalysis data -ERA5 vs ERA-interim-, vertical coordinate -kinematic vs diabatic approach- and convective parametrisation).
In my opinion, since the publication focuses mainly on the comparison between the different simulation scenarios, this should be reflected in the title. Overall the manuscript is well written and I recommend its publication in ACP after providing some clarifications and addressing some minor issues.
Specific comments
I think that it is better to use the term "model boundary layer" instead of the term "model boundary". (at least when it is mentioned for the first time).
The Asian highlands is not a continuous region. It would be interesting to mention the percentage of air masses with origin only from the Thibetan Plateau.
l45: "up to 360K". It would be useful to clarify here (for readers less familiar with the subject) that you are referring to potential temperature.
ll120-122 "The hybrid coordinate ζ ... above around 300 hPa and 380 K, respectively. "Please rephrase to "The hybrid coordinate ζ is near the surface an orography-following sigma coordinate and transforms continuously into potential temperature at higher altitudes above around 300 hPa (or 380 K).
l229 "transport pathways from two regions with two very different land-cover properties converge, the Tibetan Plateau or the Indo-Gangetic plain." please correct to "Tibetan Plateau and the Indo-Gangetic plain"
l240 and Fig. 1d: please correct the typo "Arabian See" -> "Arabian Sea"
l245 "from the Bay of Bengal more air parcels can enter the ASMA directly from the maritime boundary than from the Arabian Sea". Can you elaborate on this and provide an explanation? Also why the mean transport time from the MB into the UTLS is higher compared to the AS?
ll253-254: "Wide agreement can be found with ERA5 even when models, integration step-sizes, and vertical velocities are varied." and l268: "Model scenarios driven with ERA5 show very similar results." The scenario with extreme convection parameterisation (E5-kin-M-ECP) is also driven by ERA5 reanalysis data. It's better to mention this here (e.g. Model scenarios driven with ERA5 show very similar results except when employing the extreme convection parameterisation)
According to Figs 3b and 4c under the scenario with ECP the contributions from SE Asia increase. Please elaborate more on this in the text.
ll300-301: " This leads to... Indo-Gangetic plain." Please elaborate more on this.
ll313-314: Please rephrase (begin the sentence with "For ERA-Interim...")
l322: " However, our approach of the ECP has to be considered as an upper limit for convective transport." Can you elaborate more on this? In the Appendix F You mention that "the parametrization can be improved to avoid spurious parameterized convection events over the Persian gulf and the Red Sea". It was not possible to further imporove the parametrization? I mention this because I am concerned about the large differences between the scenario with ECP and the other scenarios.
Appendix F: Please provide a table with a short description of the scenarios shown in Fig F1. (similar to Table 2)
parametrization vs parameterisation: Please choose one spelling for consistency.