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| Titel |
Rainfall estimation using spectral analysis of microwave link signals |
| VerfasserIn |
Hidde Leijnse, Remko Uijlenhoet |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250080948
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| Zusammenfassung |
| It is well-known that microwave-link signal attenuation can be used to estimate
path-average rainfall intensities. Such rainfall data is a valuable addition to radar and
rain gauge data because these measurements are close to the ground, the retrieval
relation is close to linear, and the measurement paths are of the order of several
kilometers. However, there are several sources of error that affect these rainfall
estimates. The most important of these are 1) signal attenuation due to wet antennas,
2) correct estimation of signal baseline, and 3) correct definition of wet and dry
periods.
We propose a novel method for microwave-link rainfall estimation based on spectral
analysis of the microwave link signals. This method is based on the fact that individual
raindrops falling through the beam of the microwave link cause the received signal to
fluctuate. These signal fluctuations have a different frequency spectrum than those caused by
turbulent fluxes. The major advantage of this method is that it does not suffer from the
sources of error mentioned above. The method is tested on a dataset collected at the
Chilbolton Facility for Atmospheric and Radio Research with a 500-m microwave link and
several rain gauges. |
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