Three Years of Country-Wide Rainfall Maps from Cellular Communication Networks

Aart Overeem, Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands; Wageningen University, Wageningen, Netherlands, Hidde Leijnse, Royal Netherlands Meteorological Institute, De Bilt, Netherlands, Manuel Felipe Rios Gaona, IIHR—Hydroscience and Engineering, Iowa City, IA, United States and Remko Uijlenhoet, Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands
Abstract:
Accurate rainfall observations with high spatial and temporal resolutions are needed for hydrological applications, agriculture, meteorology, and climate monitoring. However, the majority of the land surface of the earth lacks accurate rainfall information and the number of rain gauges is even severely declining in Europe, South-America, and Africa. This calls for alternative sources of rainfall information. Various studies have shown that microwave links from operational cellular communication networks may be used for rainfall monitoring. Such networks cover 20% of the land surface of the earth and have a high density, especially in urban areas.

The basic principle of rainfall estimation using microwave links is as follows. Rainfall attenuates the electromagnetic signals transmitted from one telephone tower to another. By measuring the received power at one end of a microwave link as a function of time, the path-integrated attenuation due to rainfall can be calculated, which can be converted to average rainfall intensities over the length of a link. This is particularly interesting for those countries where few surface rainfall observations are available.

A data set from a commercial microwave link network over the Netherlands is analyzed. The data set runs from January 2011 – January 2014 and consists of roughly 2000 links covering the land surface of the Netherlands (35,500 square kilometers). From this 3-year data set country-wide rainfall maps are retrieved, which are compared to a gauge-adjusted radar data set. The ability of cellular communication networks to estimate rainfall is studied for different temporal and spatial scales, as well as for several air temperature classes. Case studies are presented to investigate the performance of the algorithm during snow and sleet and to show the influence of dew formation on the antennas on the received signal levels. To summarize, the results further confirm the potential of these networks for rainfall monitoring.

Back to: Advances in Precipitation Observations and Analysis Posters