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| Titel |
Measurement and interpolation uncertainties in rainfall maps from cellular communication networks |
| VerfasserIn |
M. F. Rios Gaona, A. Overeem, H. Leijnse, R. Uijlenhoet |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 8 ; Nr. 19, no. 8 (2015-08-14), S.3571-3584 |
| Datensatznummer |
250120790
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| Publikation (Nr.) |
 copernicus.org/hess-19-3571-2015.pdf |
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| Zusammenfassung |
Accurate measurements of rainfall are important in many hydrological and
meteorological applications, for instance, flash-flood early-warning systems,
hydraulic structures design, irrigation, weather forecasting, and climate
modelling. Whenever possible, link networks measure and store the received
power of the electromagnetic signal at regular intervals. The decrease in
power can be converted to rainfall intensity, and is largely due to the
attenuation by raindrops along the link paths. Such an alternative technique
fulfils the continuous effort to obtain measurements of rainfall in time and space
at higher resolutions, especially in places where traditional rain gauge
networks are scarce or poorly maintained.
Rainfall maps from microwave link networks have recently been introduced at
country-wide scales. Despite their potential in rainfall estimation at high
spatiotemporal resolutions, the uncertainties present in rainfall maps from
link networks are not yet fully comprehended. The aim of this work is to
identify and quantify the sources of uncertainty present in interpolated
rainfall maps from link rainfall depths. In order to disentangle these
sources of uncertainty, we classified them into two categories: (1) those
associated with the individual microwave link measurements, i.e. the errors
involved in link rainfall retrievals, such as wet
antenna attenuation, sampling interval of measurements, wet/dry period
classification, dry weather baseline attenuation, quantization of the
received power, drop size distribution (DSD), and multi-path propagation; and
(2) those associated with mapping, i.e. the combined effect of the
interpolation methodology and the spatial density of link measurements.
We computed ~ 3500 rainfall maps from real and simulated link rainfall
depths for 12 days for the land surface of the Netherlands. Simulated link
rainfall depths refer to path-averaged rainfall depths obtained from radar
data. The ~ 3500 real and simulated rainfall maps were compared against
quality-controlled gauge-adjusted radar rainfall fields (assumed to be the
ground truth). Thus, we were able to not only identify and quantify the
sources of uncertainty in such rainfall maps, but also test the actual and
optimal performance of one commercial microwave network from one of the
cellular providers in the Netherlands. Errors in microwave link measurements
were found to be the source that contributes most to the overall uncertainty. |
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