Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5607–5623, 2021
https://doi.org/10.5194/amt-14-5607-2021
Atmos. Meas. Tech., 14, 5607–5623, 2021
https://doi.org/10.5194/amt-14-5607-2021

Research article 17 Aug 2021

Research article | 17 Aug 2021

Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania

Didier de Villiers et al.

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Cited articles

Abdrabo, M., Essel, A., Lennard, C., Padgham, J., and Urquhart, P.: Africa, in: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Tech. rep., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2014. a
Arfken, G. B., Weber, H. J., and Harris, F. E.: Mathematical Methods for Physicists, 7th edn., Academic Press, Cambridge, Massachusetts, USA, 2013. a
Atlas, D. and Ulbrich, C. W.: Path- and Area-Integrated Rainfall Measurement by Microwave Attenuation in the 1–3 cm Band, J. Appl. Meteorol., 16, 1322–1331, https://doi.org/10.1175/1520-0450(1977)016<1322:paairm>2.0.co;2, 1977. a, b, c, d
Battan, L. J.: Radar Observation of the Atmosphere, University of Chicago Press, Chicago, Illinois, USA, 1973. a
Boko, M., Niang, I., and Nyong, A.: Africa, in: Climate change adaptation and vulnerability: contribution of working group II to the IV assessment report of the IPCC panel on climate change, Tech. rep., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2007. a
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Ground-based rainfall observations across the African continent are sparse. We present a new and inexpensive rainfall measuring instrument (the intervalometer) and use it to derive reasonably accurate rainfall rates. These are dependent on a fundamental assumption that is widely used in parameterisations of the rain drop size distribution. This assumption is tested and found to not apply for most raindrops but is still useful in deriving rainfall rates. The intervalometer shows good potential.