Articles | Volume 383
https://doi.org/10.5194/piahs-383-237-2020
https://doi.org/10.5194/piahs-383-237-2020
Post-conference publication
 | 
16 Sep 2020
Post-conference publication |  | 16 Sep 2020

Rainfall measurement from mobile telecommunication network and potential benefit for urban hydrology in Africa: a simulation framework for uncertainty propagation analysis

Maxime Turko, Marielle Gosset, Christophe Bouvier, Nanee Chahinian, Matias Alcoba, Modeste Kacou, and Apoline Yappi

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Cited articles

Berne, A. and Uijlenhoet, R.: Path-averaged rainfall estimation using microwave links: Uncertainty due to spatial rainfall variability, Geophys. Res. Lett., 34, 1–5, https://doi.org/10.1029/2007GL029409, 2007. 
Bouvier, C., Chahinian, N., Adamovic, M., Cassé, C., Crespy, A., Crès, A., and Alcoba, M.: Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou, Adv. Hydroinformatics, 703–717, https://doi.org/10.1007/978-981-10-7218-5_50, 2018. 
Doumounia, A., Gosset, M., Cazenave, F., Kacou, M., and Zougmore, F.: Rainfall monitoring based on microwave links from cellular telecommunication networks: First results from a West African test bed: wireless networks for rainfall in Africa, Geophys. Res. Lett., 41, 6016–6022, https://doi.org/10.1002/2014GL060724, 2014. 
Gosset, M., Kunstmann, H., Zougmore, F., Cazenave, F., Leijnse, H., Uijlenhoet, R., Chwala, C., Keis, F., Doumounia, A., Boubacar, B., Kacou, M., Alpert, P., Messer, H., Rieckermann, J., and Hoedjes, J.: Improving Rainfall Measurement in Gauge Poor Regions Thanks to Mobile Telecommunication Networks, B. Am. Meteorol. Soc., 97, ES49–ES51, https://doi.org/10.1175/BAMS-D-15-00164.1, 2016. 
Leijnse, H., Uijlenhoet, R., and Stricker, J. N. M.: Hydrometeorological application of a microwave link: 2. Precipitation: Microwave Link, 2, Water Resour. Res., 43, 1–9, https://doi.org/10.1029/2006WR004989, 2007. 
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Short summary
Urban floods due to intense precipitation is a major problem in many developing countries, especially in Africa. Rainfall measurement using cellular communication networks is a cost effective method to monitor the heavy rainfall that cause these floods. The method is based on analyzing signal fluctuations due to rain between telecommunication antennas. Here we present simulation studies to test how rainfall measured by this method can help predicting floods in urban areas.