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Volume 9, issue 12
Atmos. Meas. Tech., 9, 5699–5706, 2016
https://doi.org/10.5194/amt-9-5699-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 5699–5706, 2016
https://doi.org/10.5194/amt-9-5699-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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.
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Cited articles  
BS 7843-3:2012: Acquisition and management of meteorological precipitation data from a gauge network, Standard, British Standards Institution, 2012.
CEN/TR 16469:2013: Hydrometry – Measurement of the rainfall intensity (liquid precipitation): requirements, calibration methods and field measurements, Technical Report, European Committee for Standardization, 2013.
Chan, P. W. and Yeung, C. L.: A Study of Drop-counting Rain Gauges, Hong Kong Observatory, Technical Note (Local), No. 79, 14 pp., 2004.
Colli, M., Lanza, L. G., and Chan, P. W.: Co-located tipping-bucket and optical drop counter RI measurements and a simulated correction algorithm, Atmos. Res., 119, 3–12, 2013a.
Colli, M., Lanza, L. G., and La Barbera, P.: Performance of a weighing rain gauge under laboratory simulated time-varying reference rainfall rates, Atmos. Res., 131, 3–12, 2013b.
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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.
The research presented in this work involves field data analysis, numerical modelling techniques...
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