Idealized simulation study of the relationship of disdrometer sampling statistics with the precision of precipitation rate measurement

Rees, Karlie N.; Garrett, Timothy J.

doi:https://doi.org/10.5194/amt-14-7681-2021

Articles | Volume 14, issue 12

https://doi.org/10.5194/amt-14-7681-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-7681-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 12

Research article

|

08 Dec 2021

Research article |

| 08 Dec 2021

Idealized simulation study of the relationship of disdrometer sampling statistics with the precision of precipitation rate measurement

Karlie N. Rees and Timothy J. Garrett

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Final revised paper (published on 08 Dec 2021)
Preprint (discussion started on 17 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review', Anonymous Referee #1, 16 Nov 2020
- RC2: 'Disdrometer accuracy', Anonymous Referee #2, 04 Jan 2021
  - AC2: 'Reply on RC2', Karlie Rees, 28 Jun 2021
- AC1: 'Reply on RC1', Karlie Rees, 28 Jun 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Karlie Rees on behalf of the Authors (29 Jun 2021) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (12 Jul 2021) by Alexis Berne

RR by Darrel Baumgardner (10 Sep 2021)

RR by Anonymous Referee #4 (28 Sep 2021)

Suggestions for revision or reasons for rejection

Reviewer for manuscript AMT-2020-393
Title: Idealized simulation study of the relationship of disdrometer sampling statistics to the precision of precipitation rate measurement
Authors: Rees and Garrett

This study used the Monte Carlo method to verify the sampling width area that would allow to measure precipitation rates precisely, in particular low precipitation rates. The manuscript contributes to the development of sensors to measure precipitation. I noted many small issues that should be considered before publication.

Minor comments:
1. Section 2: Write the full name in the title of the section.
2. Line 102: Add a number to the equation. Should probably explain this simplified version of equation 1 was obtained.
3. Lines 106-110: Make sure that the units are given to all variables and the abbreviation is used. For example, change ‘units of meter square’ to m2. Verify the full manuscript.
4. Figure 1: the figure caption should be improved. Instead of using a red circle you could label the different parts using arrows and add the scale on the image.
5. Line 129: Change ‘inverse millimeter’ to mm-1.
6. Line 132: Specify where it will be discussed.
7. Lines 131-136: This paragraph would probably fit better in the results section.
8. Line 138: Change ‘a’ for ‘the’ because there is only one Marshall Palmer distribution.
9. Line 141: Why not using the scientific notation here? Please change to 3.6 x 10-3.
10. Figure 4 is referred before Figure is discussed. The author could either change the order of figures or the order in which they are referred in the text.
11. Line 147: What is ‘A’ again? Consider add a Table with the definition of all the variable used in the manuscript.
12. Line 149: It should be fall speed in 2 words. Change throughout the manuscript.
13. Line 155: Add ‘size’ after drop distribution.
14. Line 165: The terminology used earlier area width. You should use the same terminology throughout the manuscript.
15. Lines 190-191: Rephrase this sentence, which is hard to follow. “The derived minimum required … plate used.”.
16. Line 197: Specify which case it is.
17. Line 222: Write full name instead of using the acronym.

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RR by Anonymous Referee #5 (04 Oct 2021)

ED: Publish subject to minor revisions (review by editor) (15 Oct 2021) by Alexis Berne

AR by Karlie Rees on behalf of the Authors (26 Oct 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (02 Nov 2021) by Alexis Berne

Short summary

Monte Carlo simulations are used to establish baseline precipitation measurement uncertainties according to World Meteorological Organization standards. Measurement accuracy depends on instrument sampling area, time interval, and precipitation rate. Simulations are compared with field measurements taken by an emerging hotplate precipitation sensor. We find that the current collection area is sufficient for light rain, but a larger collection area is required to detect moderate to heavy rain.