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Classification of Ground Clutter and Anomalous Propagation Using Dual-Polarization Weather Radar

M.A Rico-Ramirez, I.D Cluckie, Ian Cluckie

IEEE Transactions on Geoscience and Remote Sensing, Volume: 46, Issue: 7, Pages: 1892 - 1904

Swansea University Author: Ian Cluckie

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Abstract

This paper presents the results of a study designed to classify weather radar clutter echoes obtained from ground-based dual-polarization weather radar systems. The clutter signals are due to ground clutter, sea clutter, and anomalous propagation echoes, which represent sources of error in quantitat...

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Published in: IEEE Transactions on Geoscience and Remote Sensing
ISSN: 0196-2892 1558-0644
Published: 2008
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa10535
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Abstract: This paper presents the results of a study designed to classify weather radar clutter echoes obtained from ground-based dual-polarization weather radar systems. The clutter signals are due to ground clutter, sea clutter, and anomalous propagation echoes, which represent sources of error in quantitative radar rainfall estimation. Fuzzy and Bayes classifiers are evaluated as an alternative approach to traditional polarimetric-based methods. Both systems were trained and validated by using C-band dual- polarization radar measurements, and a novel technique is proposed to calculate the texture function to mitigate against the edge effects at the boundaries of precipitation regions. A methodology is presented to extract the membership functions and conditional probability density functions to train the classifiers. The critical success index indicates that the Bayes classifier has, on average, a slightly better performance than the fuzzy classifiers. However, when optimal weighting was applied, the fuzzy classifier gave one of the best performances. The classifiers are sufficiently robust to be used when only single-polarization radar measurements are available. Copyright © 2008 IEEE Transactions on Geoscience and Remote Sensing.
Item Description: Funded by £20M+ national EPSRC Flood Risk Management Research Consortium (FRMRC) that was chaired by Cluckie. The data was obtained from the Dual-Polarization Weather Radar commissioned at Thurnham in Kent that was the first radar of its type in the EU and heavily influenced by Cluckie as the principal advisor to the Environment Agency/Meteorological Office. The real-time processing algorithms used by the Met. Office were developed and implemented in Cluckie's research group. The paper focuses on the difficult problems of removing Ground Clutter and Anomalous Propagation along the radar beam in real-time. IF 3.47.
Keywords: Weather Radar, Rainfall Measurement, Remote Sensing, Ground Clutter, Anomalous Propagation, Duel-Polarization
College: Faculty of Science and Engineering
Issue: 7
Start Page: 1892
End Page: 1904