Rainfall estimation accuracy of a nation-wide instantaneously sampling commercial microwave link network: error-dependency on known characteristics

26 Jun 2019, 09:55
large seminar room (KIT Campus Alpin)

large seminar room

KIT Campus Alpin

Kreuzeckbahnstraße 19 82467 Garmisch-Partenkirchen
Oral Specific HyMet CML research topics (presentations on Day2, posters on Day1) Specific research topics


Dr. Aart Overeem (Royal Netherlands Meteorological Institute / Wageningen University & Research)


Commercial microwave links are installed and maintained for the purpose of telecommunication. Hydrometeors between transmitting and receiving antennas cause the microwave signal to be attenuated. From signal attenuation, the path-averaged rainfall intensity can be calculated. A 7-month dataset of instantaneously logged signal powers from almost 2000 unique links in The Netherlands is analyzed. Rainfall intensities are calculated with the RAINLINK-package with a novel preprocessing module, enabling the pack-age to be applied on instantaneously logged data from now on. Rainfall intensities per link are validated with the path-averaged rainfall intensities according to a gauge-adjusted radar product. Both the overall performance and the dependence of errors on link characteristics and measurement conditions are evaluated. The coefficient of variation decreases from 3.70 to 2.32 and the correlation increases from 0.30 to 0.63 from instantaneous to daily estimates of rainfall accumulations. The coefficient of variation is also smaller during heavy rainfall. Errors are largest for path lengths shorter than 2 km, for observations during the late night and early morning, and observations during colder months (when solid or melting precipitation could occur and dew is more likely to form on the antennas). Comparison of our results with those of earlier studies show that min/max sampling (widely employed in network management systems) outperforms instantaneous sampling regarding detection of both quantity and occurrence of rain at a 15 minute sampling rate in the Dutch climate.

Primary authors

Ms. Lotte de Vos (Royal Netherlands Meteorological Institute / Wageningen University & Research) Dr. Aart Overeem (Royal Netherlands Meteorological Institute / Wageningen University & Research) Dr. Hidde Leijnse (Royal Netherlands Meteorological Institute) Prof. Remko Uijlenhoet (Wageningen University & Research)

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