Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-1249-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
A survey of snow growth signatures from tropics to Antarctica using triple-frequency radar observations
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- Final revised paper (published on 26 Jan 2026)
- Preprint (discussion started on 14 Oct 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-2025-4518', Anonymous Referee #1, 21 Nov 2025
- AC1: 'Reply on RC1', Haoran Li, 11 Dec 2025
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RC2: 'Comment on egusphere-2025-4518', Anonymous Referee #2, 25 Nov 2025
- AC2: 'Reply on RC2', Haoran Li, 11 Dec 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Haoran Li on behalf of the Authors (15 Dec 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (18 Dec 2025) by Timothy Garrett
AR by Haoran Li on behalf of the Authors (11 Jan 2026)
Manuscript
This study investigates snow growth characteristics using triple-frequency radar observations from multiple field campaigns. Based on early seminal concept connecting snow microphysics to triple-frequency signatures, this study demonstrates how these early findings can be used to compare the climatology of snow microphysics and benefit future triple-frequency satellite missions. In particular, the measurements at Southern China are unique, and I congratulate the authors for generating an important dataset.The manuscript is well written, organized, and clear. I have nothing substantive to add, aside from some minor suggestions listed below.
L66: The Introduction is a good summary of current understanding of triple frequency technology and its applications. I suggest adding some discussion on how such observation may benefit model development.
L198: Why a single A-Z parameterization is used?
L279: A more detailed physical interpretation of the variations of DWR-Z dependence, as well as how cloud-top temperature affects the radar threshold for non-Rayleigh scattering, is needed.
Fig. 6: The comparison is important. It demonstrates that the velocity-based FR estimate is a good approximate for heavy riming. Does this mean that we do not need W-band radar considering the attenuation effect, if the velocity is accurately measured?
L320: Ideally, much more data should be used for a climatological analysis. So, the impact of relatively short observation period for current results should be discussed.