Journal article 412 views
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
Full text not available from this repository: check for access using links below.
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...
Published in: | Meteorological Applications |
---|---|
ISSN: | 1350-4827 1469-8080 |
Published: |
2009
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa10537 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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: |
Faculty of Science and Engineering |
Issue: |
2 |
Start Page: |
227 |
End Page: |
236 |