Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-217-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean
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- Final revised paper (published on 07 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 23 Jun 2025)
- Supplement to the preprint
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-2025-2607', Anonymous Referee #1, 17 Jul 2025
- AC1: 'Reply on RC1', Satyendra Pandey, 09 Sep 2025
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RC2: 'Comment on manuscript by Pandey and Adebiyi', Anonymous Referee #2, 20 Jul 2025
- AC2: 'Reply on RC2', Satyendra Pandey, 09 Sep 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Satyendra Pandey on behalf of the Authors (09 Sep 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (10 Sep 2025) by Ivy Tan
RR by Anonymous Referee #2 (22 Sep 2025)
RR by Anonymous Referee #1 (23 Sep 2025)
ED: Publish as is (25 Sep 2025) by Ivy Tan
AR by Satyendra Pandey on behalf of the Authors (02 Oct 2025)
Manuscript
The authors evaluate the semi-direct effect of dust aerosol over low-levels clouds in the North Atlantic Ocean with CloudSat radar and CALIOP lidar observations. They show that the summer free-tropospheric dust layer overlying low clouds induces a shortwave heating response which strengths the boundary layer inversion, consistent with previous studies of biomass burning aerosols (positive semi-direct effect). But also, due to the large dust particle sizes, a significant longwave warming response. The dust-induced longwave warming dominates the heat budget and leads to overall less cloud-top cooling (~10%) which reduces cloud cover (novel negative semi-direct effect).
The paper presents an interesting new finding about the longwave semi-direct effect of aerosols on low-level clouds. The authors discuss first the response of cloud cover, and then the response of heating rates, to dust optical depth, dust layer geometric thickness, and dust-layer base altitude. They use a radiative transfer model (SBDART) to quantify the cloud sensitivity to perturbations in each of these aspects, as well as meteorological quantities.
Overall, the results are interesting. However, I have some confusion about the methods used for the analysis, particularly the approach taken to remove confounding effects of meteorology and how to separate the impact of each metric of the dust layer.
Mainly, why have you chosen to split up the data into so many “categories” and compute the partial derivatives of interest as differences between categories instead of computing them with a multiple linear regression?
Minor comments: