DocumentCode :
1525178
Title :
Adaptive Attenuation Correction Techniques for C-Band Polarimetric Weather Radars
Author :
Rico-Ramirez, Miguel Angel
Author_Institution :
Dept. of Civil Eng., Univ. of Bristol, Bristol, UK
Volume :
50
Issue :
12
fYear :
2012
Firstpage :
5061
Lastpage :
5071
Abstract :
This paper presents the results of a study designed to evaluate the performance of attenuation correction algorithms due to heavy precipitation at operational C-band weather radar frequencies and using differential phase measurements. This paper proposes the extension of two attenuation correction algorithms and shows a methodology to validate attenuation-corrected reflectivity measurements by using a nearby radar as opposed to the traditional use of rain gauge or disdrometer measurements. The results showed that the the adaptive attenuation correction techniques have a higher performance than the nonadaptive ones when comparing the measured and computed ΦDP profiles and also when comparing with reflectivity measurements from a nearby radar. The results also showed that the difference in the performance of the adaptive attenuation correction algorithms is minimal and optimizing a single parameter (e.g., α in the BRI algorithm) rather than three unknown parameters (e.g., a, b, and α in the AHB or AFV algorithms) is a more robust procedure.
Keywords :
atmospheric techniques; meteorological radar; phase measurement; radar polarimetry; rain; reflectivity; AFV algorithm; AHB algorithm; BRI algorithm; C-band polarimetric weather radars; C-band weather radar frequencies; adaptive attenuation correction techniques; attenuation-corrected reflectivity measurements; differential phase measurements; disdrometer measurements; heavy precipitation analysis; rain gauge; reflectivity measurements; robust procedure; single parameter optimization; Algorithm design and analysis; Attenuation; Meteorological radar; Radar measurements; Radar polarimetry; Scattering; Attenuation; C-band; dual-polarized; polarimetric radar; radar; rainfall;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2195228
Filename :
6205368
Link To Document :
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