Articles | Volume 13, issue 6
Research article
05 Jun 2020
Research article |  | 05 Jun 2020

An improved post-processing technique for automatic precipitation gauge time series

Amber Ross, Craig D. Smith, and Alan Barr


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Craig Smith on behalf of the Authors (21 Apr 2020)  Author's response    Manuscript
ED: Publish as is (30 Apr 2020) by Daqing Yang
Short summary
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.