Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2931-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2931-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2020
Research article |
| 04 Jun 2020
| 04 Jun 2020
Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Christian Chwala
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Chair of Regional Climate and Hydrology, Institute of Geography, University Augsburg, Augsburg, Germany
Julius Polz
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Harald Kunstmann
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Chair of Regional Climate and Hydrology, Institute of Geography, University Augsburg, Augsburg, Germany
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Latest update: 02 Nov 2024
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.
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous...
