On-line Monitoring of Weather Radar Antenna Pointing using high-resolution DTM and AI techniques

MA Rico-Ramirez; E Gonzalez-Ramirez; ID Cluckie

On-line Monitoring of Weather Radar Antenna Pointing using high-resolution DTM and AI techniques

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

Department of Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

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
Original language	English
Title of host publication	International Symposium Weather Radar and Hydrology, Grenoble, France
Publication status	Published - 2008

Access to Document

http://dbms.ilrt.bris.ac.uk/media/user/20991/wrah2008-p1-010.pdf

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Cite this

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title = "On-line Monitoring of Weather Radar Antenna Pointing using high-resolution DTM and AI techniques",

abstract = "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.",

author = "MA Rico-Ramirez and E Gonzalez-Ramirez and ID Cluckie",

year = "2008",

language = "English",

booktitle = "International Symposium Weather Radar and Hydrology, Grenoble, France",

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AU - Rico-Ramirez, MA

AU - Gonzalez-Ramirez, E

AU - Cluckie, ID

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

M3 - Conference Contribution (Conference Proceeding)

BT - International Symposium Weather Radar and Hydrology, Grenoble, France

ER -