Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10331-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Contribution of free tropospheric aerosols to Arctic low-level cloud droplets formation and longwave radiative forcing
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- Final revised paper (published on 24 Jul 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 27 Feb 2026)
- 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-2026-1068', Christian Pilz, 20 Mar 2026
- AC1: 'Reply on RC1', Roman Pohorsky, 23 Jun 2026
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RC2: 'Comment on egusphere-2026-1068', Anonymous Referee #2, 24 Mar 2026
- AC2: 'Reply on RC2', Roman Pohorsky, 23 Jun 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Roman Pohorsky on behalf of the Authors (23 Jun 2026)
Author's response
Author's tracked changes
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ED: Referee Nomination & Report Request started (24 Jun 2026) by Matthias Tesche
RR by Anonymous Referee #2 (29 Jun 2026)
ED: Publish subject to technical corrections (30 Jun 2026) by Matthias Tesche
AR by Roman Pohorsky on behalf of the Authors (04 Jul 2026)
Manuscript
The study by Pohorsky et al. provides valuable new insights into aerosol-cloud-radiation interactions in the Arctic, based on tethered balloon measurements above the sea ice. Profile observations of meteorological parameters, as well as aerosol and cloud properties, were effectively combined with cloud remote sensing and modeling to investigate the impact of free-tropospheric aerosols on low-level cloud properties. The authors showed that cloud droplet numbers could not be explained solely by boundary-layer aerosol concentrations but required the inclusion of the entrainment of cloud condensation nuclei (CCN) at cloud top. Radiative transfer modelling resulted in an enhancement of the cloud’s longwave warming by 1.3 W m-2 by the entrained particles. This effect is of the same order as previously reported effects of anthropogenic pollution on Arctic clouds and might be even more pronounced under conditions with fewer aerosols. Although the study is based on a single case, it provides an important piece in assessing the CCN budget of Arctic low-level clouds and their radiative effects. Moreover, tethered-balloon observations over Arctic sea ice are sparse due to the inherent difficulties of conducting them. The paper is of high scientific quality, is well-structured, and reads well. I recommend accepting the paper with minor revisions.
One major topic that needs to be treated in more detail is the cloud droplet measurements and their use in the models. The study would be significantly strengthened if the LOAC cloud droplet size distributions were used to derive the LWC and effective radius reff, rather than remote-sensing products. Or at least should be compared with remote sensing, as the droplet number concentration profiles in Fig. 7 indicate a smaller reff at the bottom of the cloud than in the upper part. It would also be beneficial to add the cloud droplet number distribution as an average over the cloud layer, or, better yet, as a vertical contour plot, rather than droplet number concentration per-bin profiles. The droplet number concentration of the LOAC should be validated in greater detail in the main part of the paper, since this is the core part of the study that connects different observations to the models, e.g., by performing a linear regression against the fog monitor. In section 2.2, it is stated that Nd is derived from droplets larger than 3 µm, which is inconsistent with Fig. 7 where smaller sizes are included. On what size range are the reported Nd of 130 cm-3 in the case study based on?
One aspect that puzzles me is why the case study is based only on one of the six available profiles on 7 June? Including the other profiles would significantly strengthen the study by enhancing the statistics or providing more insights into the variations between the profiles. Judging from Fig. 7, it seems that the aerosol particle number size distribution of the entrainment zone is only based on a single mSEMS scan at ~400 m height. This provides rather weak statistics, given the counting statistics of small charged particles at low aerosol concentrations and an mSEMS scan time of 160 s during an ascending balloon flight in a dynamic environment.
Detailed comments:
Figure 1: Nice figure, but also slightly complex with the particle sources in the free troposphere (long-range, NPF) not mentioned in the introduction so far. Better focus on the core points of the study in the figure, or give background on the particle sources in the intro, including references.
Sec 2.1: What was the average climb rate of the balloon and the resulting vertical resolution of the mSEMS?
L 157–161: This could be moved to the supplementary material, as the STAP and filter samples were not used in the paper.
Supp. Fig S1: Typo in caption, d) N8-280
L. 186 -191: The POPS correction scheme seems inaccurate. It seems more reasonable to correct the POPS diameter rather than the particle number to match the DMPS. The particle numbers of the POPS are probably correct, but they are counted at a different size due to the deviation of the optical diameter from the mobility diameter. This would also affect the lower detection limit of the POPS.
Fig. S3: What are the lower Y-Axis labels on the heat maps, droplet size?
L 233: Unintroduced abbreviation SLP
Fig S4: Typo in caption: 186 and 3370 nm
Sec. 2.6: The droplet activation scheme seems to be derived for liquid stratus clouds. Is it applicable to mixed-phase clouds, as in your case study?
L 382-383: The number ~150 cm-3 is inconsistent with ~450 cm-3 on 10 June, as seen in Fig. 4. The statement “ – too small to activate in this case” without the supporting PNSD seems difficult to comprehend.
Fig 4: Please provide further info on how the mSEMS and POPS were merged in terms of bin limits and different time resolutions of each instrument to derive profiles of N8-3370.
Fig 5: Typo in caption: 1000 km radius should be 100 km, as in the text?
L 436-438: sentence reads a bit difficult. How is the increasing concentration above the cloud linked to decreasing concentrations at the surface?
L 466 – 469: This conclusion may be better placed later in the text, since the aerosol PNSD was not introduced yet.
Fig 8: Please add the DMPS size distribution for the PBL to the plot, or add a comparison of the mSEMS with the DMPS to the supplementary.
L547 – 551: Does the calculated number of CCN above the Hoppel minimum from the DMPS match the measured number from the CCN counter, when it is derived by an interpolation between the two nearest SS levels, similar to the procedure for deriving kappa?
L627 – 628: There seems to be a typo in “3 times more droplets”, as your range of Nd from 68 to 122 cm-3 is more or less similar to the study.