Articles | Volume 25, issue 18
https://doi.org/10.5194/acp-25-11109-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.Observed relationship between drop size distribution including a breakup signature and environmental properties near Kumagaya in eastern Japan
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- Final revised paper (published on 24 Sep 2025)
- Preprint (discussion started on 07 Feb 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-2025-210', Anonymous Referee #1, 13 Mar 2025
- AC1: 'Reply on RC1', Takashi Unuma, 20 May 2025
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RC2: 'Comment on egusphere-2025-210', Anonymous Referee #2, 16 Apr 2025
- AC2: 'Reply on RC2', Takashi Unuma, 20 May 2025
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Takashi Unuma on behalf of the Authors (20 May 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (26 May 2025) by Thijs Heus
RR by Anonymous Referee #2 (27 May 2025)
RR by Anonymous Referee #1 (22 Jun 2025)

ED: Publish subject to minor revisions (review by editor) (30 Jul 2025) by Thijs Heus

AR by Takashi Unuma on behalf of the Authors (07 Aug 2025)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (11 Aug 2025) by Thijs Heus

AR by Takashi Unuma on behalf of the Authors (12 Aug 2025)
General Comment
This study investigated raindrop size distribution (DSD) characteristics of precipitation cells observed by a polarimetric radar and ground-based disdrometer data using three-year datasets and environmental factor that can impact the DSD characteristics. The analysis method is adequate, and the figures are clean and easy to see. However, I am concerned with the sample size used in this study. I think that the data period (3 years) is good and enough to collect samples. However, the sampled cases shown in Figs. 7-9 were very small, and the correlation coefficients were very small. Therefore, I cannot be convinced with the impacts of the environmental factors discussed using Figs. 7-9. Moreover, the title says “… eastern Japan,” however, the radar data used in this study are from one radar at one location, and the disdrometer data are also from one location. I am not sure if this dataset is enough to represent the characteristics in “eastern Japan.” It is also unclear in the manuscript what types of precipitation cases were focused and why this study focused on equilibrium shape of DSD. Definitions of cells are not clear. Details are listed below. The author should address those or perhaps needs additional analyses before publication.
Specific comments
1. Title: As I mentioned above, the title says “… eastern Japan,” so I expected this study used large datasets from multiple locations in the eastern Japan. However, the radar data used in this study are from one radar at one location, and the disdrometer data are also from one location. I am not sure which area in Japan is represented by “eastern Japan” and if this dataset is enough to represent the characteristics in “eastern Japan.”
2. Introduction: It is unclear in the manuscript what types of precipitation cases were focused in this study. I supposed that the author was interested in heavy rainfall, but I am not sure why this study focused on equilibrium shape of DSD. The instruction mentioned multimodality in DSD shapes, but the mainstream of this study did not account for the multimodality (I think).
3. Definitions: Definitions of cells and target cases are unclear. Methods of tracking cells are also unclear. I have the following specific questions.
4. The sample size (tracked cells) seems to be enough to me in Table 1 and Figures 2 and 3. However, the samples shown in Figures 7-9 are very small (30-40 points only). Why? Moreover, the correlations are small. All discussions about the environmental factors were based on those plots with very small correlations. Therefore, I cannot be convinced with the impacts of the environmental factors discussed using Figs. 7-9. I have the following specific comments:
5. Environmental factors
The environmental factors discussed are limited. CAPR, KI, PW, wind shear, and TLR could be major factors, but other factors should also be discussed, such as humidity (low level/mid levels), aerosols, seasons, etc. As I mentioned above, the correlations shown in Figs. 7-9 are very low. I would suspect that there could be other factors that can better correlate with the DSD parameters.
6. Others:
Technical comments