Articles | Volume 15, issue 2
Atmos. Meas. Tech., 15, 485–502, 2022
https://doi.org/10.5194/amt-15-485-2022
Atmos. Meas. Tech., 15, 485–502, 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 et al.

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Cited articles

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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.