Articles | Volume 9, issue 12
Atmos. Meas. Tech., 9, 5699–5706, 2016
https://doi.org/10.5194/amt-9-5699-2016
Atmos. Meas. Tech., 9, 5699–5706, 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 et al.

Viewed

Total article views: 1,639 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
909 685 45 1,639 62 72
  • HTML: 909
  • PDF: 685
  • XML: 45
  • Total: 1,639
  • BibTeX: 62
  • EndNote: 72
Views and downloads (calculated since 02 Aug 2016)
Cumulative views and downloads (calculated since 02 Aug 2016)

Cited

Latest update: 16 May 2022
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.