Processing and Interpretation of Coherent Dual-Polarized Radar Measurements

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  • 1 Colorado State University, Fort Collins, Colorado
  • | 2 DLR, Institute of Atmospheric Physics, Oberpfaffenhofen, Germany
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Abstract

Dual-polarized coherent radar measurements are used to estimate the differential propagation phase or ϕDP between horizontal and vertical polarization states. The slope of ϕDP is an estimate of the specific differential phase KDP. This process is complicated due to differential phase on backscatter δ between horizontal and vertical polarization states, which can be significant at C band. Filtering techniques are presented for separating δ from propagation phase and then estimating KDP and δ. Also discussed are procedures for the estimation and interpretation of other radar measurables such as conventional radar reflectivity, differential reflectivity ZDP, the magnitude of the copolar correlation coefficient ρHV(0), and Doppler spectrum width σν. A low noise level is essential for accurate estimation of these parameters. A spectral domain technique that can eliminate some of the noise contained in radar time series data is presented. The techniques are applied to data collected by Poldirad, the German Aerospace Research Establishment's polarimetric C-band radar.

Abstract

Dual-polarized coherent radar measurements are used to estimate the differential propagation phase or ϕDP between horizontal and vertical polarization states. The slope of ϕDP is an estimate of the specific differential phase KDP. This process is complicated due to differential phase on backscatter δ between horizontal and vertical polarization states, which can be significant at C band. Filtering techniques are presented for separating δ from propagation phase and then estimating KDP and δ. Also discussed are procedures for the estimation and interpretation of other radar measurables such as conventional radar reflectivity, differential reflectivity ZDP, the magnitude of the copolar correlation coefficient ρHV(0), and Doppler spectrum width σν. A low noise level is essential for accurate estimation of these parameters. A spectral domain technique that can eliminate some of the noise contained in radar time series data is presented. The techniques are applied to data collected by Poldirad, the German Aerospace Research Establishment's polarimetric C-band radar.

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