256 Real Time Estimation of the Antenna Radome Effects on the Weather Radar Calibration

Tuesday, 17 September 2013
Breckenridge Ballroom (Peak 14-17, 1st Floor) / Event Tent (Outside) (Beaver Run Resort and Conference Center)
Eugenio Gorgucci, CNR / ISAC, Rome, Italy; and R. Bechini, L. Baldini, R. Cremonini, and V. Chandrasekar

For most weather radar applications, operation radar systems typically are equipped with a radome. This configuration provides environmental protection for the antenna and allows continuous operation under any weather conditions. Unfortunately, a radome presents the disadvantage to affect antenna performance as well as the outgoing and incoming microwave. The study is focused on quantifying the impact on radar polarimetric measurements due to the presence of a radome. Analysis refers to the transportable X-band polarimetric radar of ARPA Piemonte (ARX) that uses a “bullet-shaped” radome to provide environmental protection to the antenna and receiver apparatus system. Radar calibration is performed using wet and dry radome. Differential reflectivity calibration results are compared with those obtained using the sun as a radiation reference source. Estimates have comparable mean values, with their differences being within the standard deviation. The paper describes a method based on the self-consistency principle that takes into account the loss induced by radome wetting due to rain to adjust the absolute calibration of the radar in real time. In order to verify how well this method overcomes the problem of excess attenuation caused by the presence of precipitation on the radome, two validation methods are presented. The first uses an empirical model to estimate the two-way wet radome losses for a qualitative comparison with the corresponding losses obtained by the self-consistency principle. The second employs comparisons between radar and gauge rainfall accumulations with and without radome correction. This approach offers a clear understanding of the response of the correction, providing quantitative performance in a real case.
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