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Real-time monitoring of weather radar antenna pointing using digital terrain elevation and a Bayes clutter classifier

Miguel Angel Rico-Ramirez, Efren Gonzalez-Ramirez, Ian Cluckie, Dawei Han

Meteorological Applications, Volume: 16, Issue: 2, Pages: 227 - 236

Swansea University Author: Ian Cluckie

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DOI (Published version): 10.1002/met.112

Abstract

This paper presents a novel technique to monitor continuously 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-precipitatio...

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Published in: Meteorological Applications
ISSN: 1350-4827 1469-8080
Published: 2009
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URI: https://cronfa.swan.ac.uk/Record/cronfa10537
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Abstract: This paper presents a novel technique to monitor continuously 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. Copyright © 2008 Royal Meteorological Society
Item Description: This paper presents a novel technique to monitor continuously the azimuthal pointing accuracy of an operational 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 a high-resolution digital elevation model (DEM) whereas the measured ground clutter echoes were obtained in real-time using a Bayes classifier that identifies the clutter echoes in the presence of precipitation. IF 1.32.
College: College of Engineering
Issue: 2
Start Page: 227
End Page: 236