The Disdrometer Verification Network (DiVeN): a UK network of laser precipitation instruments

Pickering, Ben S.; Neely III, Ryan R.; Harrison, Dawn

doi:https://doi.org/10.5194/amt-12-5845-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/amt-12-5845-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-5845-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

Research article

|

08 Nov 2019

Research article |

| 08 Nov 2019

The Disdrometer Verification Network (DiVeN): a UK network of laser precipitation instruments

Ben S. Pickering, Ryan R. Neely III, and Dawn Harrison

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Final revised paper (published on 08 Nov 2019)
Preprint (discussion started on 17 Oct 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review of amt-2018-302', Anonymous Referee #1, 21 Dec 2018
- AC1: 'AMT-2018-302 Reviewer Comment #1 Response', Ben Pickering, 22 Apr 2019
RC2: 'Review recommendation: Accepted subject to minor revisions', Frederic Fabry, 27 Mar 2019
- AC2: 'AMT-2018-302 Reviewer Comment #2 Response', Ben Pickering, 22 Apr 2019

Peer-review completion

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

AR by Ben Pickering on behalf of the Authors (22 Apr 2019) Manuscript

ED: Referee Nomination & Report Request started (06 May 2019) by Szymon Malinowski

RR by Anonymous Referee #3 (28 Jun 2019)

ED: Publish subject to technical corrections (28 Jun 2019) by Szymon Malinowski

AR by Ben Pickering on behalf of the Authors (15 Jul 2019) Manuscript

Short summary

A new network of precipitation instruments has been established for the UK. The instruments are capable of detecting the fall velocity and diameter of each particle that falls through a laser beam. The particle characteristics are derived from the duration and amount of decrease in beam brightness as perceived by a receiving diode. A total of 14 instruments make up the network and all instruments upload 60 s frequency data in near-real time to a publicly available website with plots.