Articles | Volume 15, issue 2
https://doi.org/10.5194/amt-15-485-2022
https://doi.org/10.5194/amt-15-485-2022
Research article
 | 
27 Jan 2022
Research article |  | 27 Jan 2022

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Wagner Wolff, Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet

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Cited articles

Abdelaziz, R. and Zambrano-Bigiarini, M.: Particle Swarm Optimization for inverse modeling of solute transport in fractured gneiss aquifer, J. Contam. Hydrol., 164, 285–298, https://doi.org/10.1016/j.jconhyd.2014.06.003, 2014. 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
Bianchi, B., van Leeuwen, P. J., Hogan, R. J., and Berne, A.: A variational approach to retrieve rain rate by combining information from rain gauges, radars, and microwave links, J. Hydrometeorol., 14, 1897–1909, https://doi.org/10.1175/JHM-D-12-094.1, 2013. a
Bisselink, B., Zambrano-Bigiarini, M., Burek, P., and de Roo, A.: Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions, Journal of Hydrology: Regional Studies, 8, 112–129, https://doi.org/10.1016/j.ejrh.2016.09.003, 2016. a
Brauer, C. C., Overeem, A., Leijnse, H., and Uijlenhoet, R.: The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment, Hydrol. Process., 30, 3885–3900, https://doi.org/10.1002/hyp.10898, 2016. a
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Short summary
The existing infrastructure for cellular communication is promising for ground-based rainfall remote sensing. Rain-induced signal attenuation is used in dedicated algorithms for retrieving rainfall depth along commercial microwave links (CMLs) between cell phone towers. This processing is a source of many uncertainties about input data, algorithm structures, parameters, CML network, and local climate. Application of a stochastic optimization method leads to improved CML rainfall estimates.