Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5607–5623, 2021
https://doi.org/10.5194/amt-14-5607-2021
Atmos. Meas. Tech., 14, 5607–5623, 2021
https://doi.org/10.5194/amt-14-5607-2021

Research article 17 Aug 2021

Research article | 17 Aug 2021

Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania

Didier de Villiers et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Didier de Villiers on behalf of the Authors (22 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 May 2021) by Piet Stammes
RR by Piet Stammes (22 May 2021)
ED: Publish subject to minor revisions (review by editor) (27 May 2021) by Piet Stammes
AR by Didier de Villiers on behalf of the Authors (15 Jun 2021)  Author's response    Manuscript
ED: Publish as is (06 Jul 2021) by Piet Stammes
AR by Didier de Villiers on behalf of the Authors (13 Jul 2021)  Author's response    Manuscript
Download
Short summary
Ground-based rainfall observations across the African continent are sparse. We present a new and inexpensive rainfall measuring instrument (the intervalometer) and use it to derive reasonably accurate rainfall rates. These are dependent on a fundamental assumption that is widely used in parameterisations of the rain drop size distribution. This assumption is tested and found to not apply for most raindrops but is still useful in deriving rainfall rates. The intervalometer shows good potential.