Journal article
Commercial microwave links instead of rain gauges: fiction or reality?
- Fencl M Department of Hydraulics and Hydrology, Czech Technical University in Prague, Prague 6 166 29, Czech Republic E-mail: martin.fencl@fsv.cvut.cz.
- Rieckermann J Eawag: Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
- Sýkora P Prague Water Supply and Sewerage System Company, Prague 1 110 00, Czech Republic.
- Stránský D Department of Sanitary and Ecological Engineering, Czech Technical University in Prague, Prague 6 166 29, Czech Republic.
- Bareš V Department of Hydraulics and Hydrology, Czech Technical University in Prague, Prague 6 166 29, Czech Republic E-mail: martin.fencl@fsv.cvut.cz; UCEEB, Czech Technical University in Prague, Trinecka 1024, Bustehrad 273 43, Czech Republic.
- 2015-01-22
Published in:
- Water science and technology : a journal of the International Association on Water Pollution Research. - 2015
English
Commercial microwave links (MWLs) were suggested about a decade ago as a new source for quantitative precipitation estimates (QPEs). Meanwhile, the theory is well understood and rainfall monitoring with MWLs is on its way to being a mature technology, with several well-documented case studies, which investigate QPEs from multiple MWLs on the mesoscale. However, the potential of MWLs to observe microscale rainfall variability, which is important for urban hydrology, has not been investigated yet. In this paper, we assess the potential of MWLs to capture the spatio-temporal rainfall dynamics over small catchments of a few square kilometres. Specifically, we investigate the influence of different MWL topologies on areal rainfall estimation, which is important for experimental design or to a priori check the feasibility of using MWLs. In a dedicated case study in Prague, Czech Republic, we collected a unique dataset of 14 MWL signals with a temporal resolution of a few seconds and compared the QPEs from the MWLs to reference rainfall from multiple rain gauges. Our results show that, although QPEs from most MWLs are probably positively biased, they capture spatio-temporal rainfall variability on the microscale very well. Thus, they have great potential to improve runoff predictions. This is especially beneficial for heavy rainfall, which is usually decisive for urban drainage design.
- Language
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- English
- Open access status
- closed
- Identifiers
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- DOI 10.2166/wst.2014.466
- PMID 25607666
- Persistent URL
- https://sonar.ch/global/documents/139633
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