Articles | Volume 25, issue 22
https://doi.org/10.5194/acp-25-16479-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
A radar view of ice microphysics and turbulence in Arctic cloud systems
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- Final revised paper (published on 24 Nov 2025)
- Preprint (discussion started on 28 May 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
- RC1: 'Comment on egusphere-2025-2149', Peter May, 15 Jun 2025
- RC2: 'Comment on egusphere-2025-2149', Anonymous Referee #2, 22 Jul 2025
- AC1: 'Reply Letter', Jialin Yan, 06 Sep 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jialin Yan on behalf of the Authors (09 Sep 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (13 Sep 2025) by Yi Huang
RR by Peter May (26 Sep 2025)
ED: Publish as is (06 Oct 2025) by Yi Huang
AR by Jialin Yan on behalf of the Authors (10 Oct 2025)
This paper analyses a large volume of K-band radar data from the North Slope of Alaska ARM site and uses novel statistical methods to infer some key ice microphysical processes from the data. This is well within the scope of ACP and these broad statistical studies are to be encouraged. The analysis appears quite robust and I think this manuscript should be published with relatively minor edits. I also suggest that some discussion is made on the potential use of longer wavelength data given the quite large number of Microwave Rain Radars operating at high latitudes. For scatter from ice particles there should not be too much sensitivity.
There are a couple of gaps in the discussion. The introduction of Z being proportional to the sixth power of D is true for Rayleigh scatter, but scattering from ice crystals is much more complex with dependencies on shape, density and how much air is trapped than such a simple relation. There is an excellent discussion in Chapter 3 by Tynelä et al in the recent book, Volume 2 of Advances in Weather Radar edited by V.N Bringi, K.V. Mishra and M. Thurai. Likewise, the variations in(reflectivity weighted) fall speed for different crystals and the impact of this on the discussion and interpretation needs some further discussion. This discussion goes back a long way, at least to Locatelli and Hobbs (JGR, 1974). This is mentioned in the latter part of the manuscript, but again needs some more detail and nuancing.
The discussion on EDR retrievals also needs further explanation and what equations are being used? It is certainly different from spectral width based estimates. What is the confidence in these retrievals?
How robust is the “detection” of SCL? For samples where you argue that there is SCL near cloudbase, have you validated with lidar data? This would give more confidence to the conclusions. I certainly wouldn’t expect that turbulence contributes to the formation of SCL. In contrast, I thought it would increase collision rates and riming.
Minor comments:
Do you make a density correction for the fallspeeds? This will be needed for more quantitative discussion.
The colorscale of Fig 1, panel b should be changed so that detail between 0 and 1 m/s is more clearly visible.
Overall ratings:
Scientific significance: Excellent
Scientific quality: Good
Presentation quality: Good to excellent