Real-time Monitoring of Weather Radar Antenna Pointing using digital terrain elevation and a Bayes clutter classifier

MA Rico-Ramirez, E Gonzalez-Ramirez, ID Cluckie, D Han

Research output: Contribution to journalArticle (Academic Journal)peer-review

16 Citations (Scopus)

Abstract

This paper presents a novel technique to continuously monitor the azimuthal pointing accuracy of a weather radar antenna. The technique consists of cross-correlating between modelled and measured echoes from ground clutter in real-time at low elevation angles under precipitation and non-precipitation conditions. The azimuthal angle lag with the maximum cross-correlation indicates the adjustment needed in antenna pointing. The modelled ground clutter echoes were obtained using high-resolution digital elevation model (DEM) data whereas the measured ground clutter echoes can be obtained in real-time using a Bayes classifier, which identifies the clutter echoes in the presence of precipitation. The technique has been successfully tested in the Thurnham radar in Southeast England. This method can be used by data users as well as radar operators. It should complement the traditional methods based on sun measurements.
Translated title of the contributionReal-time Monitoring of Weather Radar Antenna Pointing using digital terrain elevation and a Bayes clutter classifier
Original languageEnglish
Pages (from-to)227 - 236
Number of pages10
JournalMeteorological Applications
Volume16
DOIs
Publication statusPublished - Jun 2009

Bibliographical note

Publisher: Wiley

Fingerprint

Dive into the research topics of 'Real-time Monitoring of Weather Radar Antenna Pointing using digital terrain elevation and a Bayes clutter classifier'. Together they form a unique fingerprint.

Cite this