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

Viewed

Total article views: 2,733 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,656 993 84 2,733 116 113
  • HTML: 1,656
  • PDF: 993
  • XML: 84
  • Total: 2,733
  • BibTeX: 116
  • EndNote: 113
Views and downloads (calculated since 02 Aug 2016)
Cumulative views and downloads (calculated since 02 Aug 2016)

Cited

Latest update: 20 Nov 2024
Download
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.