Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement

Fehlmann, Michael; Rohrer, Mario; von Lerber, Annakaisa; Stoffel, Markus

doi:https://doi.org/10.5194/amt-13-4683-2020

Articles | Volume 13, issue 9

https://doi.org/10.5194/amt-13-4683-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-4683-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 9

Research article

|

04 Sep 2020

Research article |

| 04 Sep 2020

Automated precipitation monitoring with the Thies disdrometer: biases and ways for improvement

Michael Fehlmann, Mario Rohrer, Annakaisa von Lerber, and Markus Stoffel

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Final revised paper (published on 04 Sep 2020)
Preprint (discussion started on 23 Jan 2020)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Comment on "Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement"', Adrien Guyot, 07 Feb 2020
- AC3: 'Reply to short comment #1', Michael Fehlmann, 17 Jun 2020
RC1: 'review report', Anonymous Referee #1, 18 Feb 2020
- AC1: 'Reply to comments of reviewer #1', Michael Fehlmann, 17 Jun 2020
  - AC4: 'Revised reply to comment 1.2 of reviewer #1', Michael Fehlmann, 22 Jul 2020
RC2: 'Please see the attached file', Anonymous Referee #2, 18 Mar 2020
- AC2: 'Reply to comments of reviewer #2', Michael Fehlmann, 17 Jun 2020

Peer-review completion

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

AR by Michael Fehlmann on behalf of the Authors (17 Jun 2020) Manuscript

ED: Referee Nomination & Report Request started (29 Jun 2020) by Alexis Berne

RR by Anonymous Referee #1 (06 Jul 2020)

ED: Publish subject to minor revisions (review by editor) (07 Jul 2020) by Alexis Berne

AR by Michael Fehlmann on behalf of the Authors (22 Jul 2020) Author's response Manuscript

ED: Publish as is (24 Jul 2020) by Alexis Berne

AR by Michael Fehlmann on behalf of the Authors (27 Jul 2020) Manuscript

Short summary

The Thies disdrometer is used to monitor precipitation intensity and its phase and thus may provide valuable information for the management of meteorological and hydrological risks. In this study, we characterize biases of this instrument using common reference instruments at a pre-alpine study site in Switzerland. We find a systematic underestimation of liquid precipitation amounts and suggest possible reasons for and corrections to this bias and relate these findings to other study sites.