DocumentCode
72180
Title
The Dual-Wavelength Method for Hailstorm Detection by Airborne Radar
Author
Louf, Valentin ; Pujol, Olivier ; Sauvageot, Henri ; Riedi, Jerome
Author_Institution
Lab. d´Opt. Atmospherique, Univ. Lille 1, Villeneuve d´Ascq, France
Volume
52
Issue
11
fYear
2014
fDate
Nov. 2014
Firstpage
7327
Lastpage
7335
Abstract
This paper focuses on a dual-wavelength technique to detect hail in convective cells from a weather airborne radar. The topic is of great interest since hailstorm is the main meteorological hazard in the context of civil aviation. Considering S, C, and X frequency bands, the question of the most efficient frequency couple is addressed by means of simulations of airborne radar observations. A convective system made of two successive rows of convective towers is first modeled. Another one extracted from a real hailstorm is then considered. It is shown that the quantity dy/dr, where r is the radial coordinate along the ray path and y is the measured differential reflectivity at two different wavelengths, is a good indicator of hail areas. This quantity, associated with the measured reflectivity at the less attenuated wavelength (i.e., the longest one), enables one to identify convective cells containing hail. It appears that the frequency couples S-X and C-X are the best ones for hail detection. In the context of civil aviation, the second one (C-X) permits one to minimize antenna size.
Keywords
airborne radar; reflectivity; civil aviation; convective cells; convective towers; differential reflectivity; dual-wavelength method; hailstorm detection; meteorological hazard; weather airborne radar; Airborne radar; Attenuation; Discrete wavelet transforms; Meteorological radar; Poles and towers; Radar antennas; Airborne radar; dual wavelength; meteorological hazard; phased-array radar (PAR); precipitating systems; radar frequency comparison;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2014.2311316
Filename
6786318
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