Extended Abstract (612K)4R.3
Identification and removal of non-precipitation echoes using the characteristics of radar echoes
GyuWon Lee, McGill Univ., Ste-Anne-de-Bellevue, QC, Canada; and Y. H. Cho, K. E. Kim, and I. Zawadzki
This paper explores the removal of non-precipitation echoes such as normal ground echoes (GRE) and anomalous propagation (AP) in ground-based radars using a fuzzy logic approach. Membership functions and their weights are objectively derived from the characteristics of radar echoes as a function of radar reflectivity. The dependence on echo intensity is shown to significantly improve the proper identification of non-precipitation echoes. Likewise, the distinctive characteristics of non-precipitation echoes at lower angles also suggest a dependence on the elevation angles of the radar measurements. The evaluation of the proposed method is performed with the operational McGill S-band radar. The performance of the proposed method is comparable with that from polarimetric measurements that are considered as truth. It can thus easily be implemented in operational radars.
Session 4R, Radar Signal Processing
Tuesday, 25 October 2005, 3:30 PM-5:30 PM, Alvarado D
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