Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5699-2016
https://doi.org/10.5194/amt-9-5699-2016
Research article
 | 
29 Nov 2016
Research article |  | 29 Nov 2016

Performance of post-processing algorithms for rainfall intensity using measurements from tipping-bucket rain gauges

Mattia Stagnaro, Matteo Colli, Luca Giovanni Lanza, and Pak Wai Chan

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Short summary
The research presented in this work involves field data analysis, numerical modelling techniques and approaches to a long-standing problem of liquid precipitation measurements: the sampling and the interpretation of the tipping-bucket sensor signal. The present study shows relevant implications of the adopted data processing methods for the accuracy of the rainfall intensity measurements provided by traditional tipping-bucket gauges.