Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2931-2020
https://doi.org/10.5194/hess-24-2931-2020
Research article
 | 
04 Jun 2020
Research article |  | 04 Jun 2020

Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data

Maximilian Graf, Christian Chwala, Julius Polz, and Harald Kunstmann

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Latest update: 17 Jun 2024
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Short summary
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous cellular communication networks, can be used to estimate path-integrated rainfall rates. This study presents the processing and evaluation of the largest CML data set to date, covering the whole of Germany with almost 4000 CMLs. The CML-derived rainfall information compares well to a standard precipitation data set from the German Meteorological Service, which combines radar and rain gauge data.