This paper presents a novel tecnique to continuously monitor the azimuthal pointing accuracy of a weather radar antenna. The technique consists in cross correlating modeled and measured echoes from ground clutter in real-time at low elevation angles in precipitation and non-precipitation conditions. The azimuthal angle with maximum cross-correlation indicates the adjustment in antenna pointing accuracy. The modeled ground clutter echoes are obtained using high-resolution digital terrain elevation (DTM) data whereas the measured ground clutter echoes can be obtained in real-time by using a Bayes classifier, which identifies the clutter echoes in the presence of precipitation.
|Translated title of the contribution||On-line Monitoring of Weather Radar Antenna Pointing using high-resolution DTM and AI techniques|
|Title of host publication||International Symposium Weather Radar and Hydrology, Grenoble, France|
|Publication status||Published - 2008|