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

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Cited articles

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Bartlett, P. A., MacKay, M. D., and Verseghy, D. L.: Modified snow algorithms in the Canadian Land Surface Scheme: Model runs and sensitivity analysis at three boreal forest stands, Atmos. Ocean, 44, 207–222, 2006. 
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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.