Publication | Closed Access
Raindrop Size Distribution (DSD) Retrieval for X-Band Dual-Polarization Radar
28
Citations
28
References
2013
Year
EngineeringMeasurementEarth ScienceCalibrationAtmospheric ScienceImaging RadarRadar Signal ProcessingMeteorologySynthetic Aperture RadarAntennaMicrowave Remote SensingRadiation MeasurementRadar ApplicationDsd RetrievalRadar ImagingRadarDsd ParametersRadar ScatteringRemote SensingRadar Image ProcessingRaindrop Size Distribution
Abstract A raindrop size distribution (DSD) retrieval method for a dual-polarization radar at attenuating frequency is proposed. The proposed method is developed such that the range profiles of the gamma DSD parameters, an intercept parameter Nw (mm−1 m−3), and a median volume diameter D0 (mm) can be estimated to match the dual-polarization measurements, measured equivalent reflectivity at horizontal polarization ZHm, measured differential reflectivity ZDRm, and measured differential propagation phase ΦDPm, where the forward scattering and backscattering are formulated simultaneously to avoid the two-step process of attenuation correction and DSD retrieval. Additionally, the proposed method does not have the attenuation-correction errors accumulated along range that traditional forward and backward processes have, since the range profiles of the DSD parameters are optimized in a radar beam simultaneously. In the simulation, the proposed algorithm showed fairly good accuracies for retrievals Nw and D0. Errors with the different axis ratio models or calibration biases in ZHm and ZDRm, which contaminate assumptions of the proposed method in real observational data, were also evaluated. Under a Gaussian fluctuation model, the estimation process, known as an iterative maximum-likelihood estimator, derives the best estimation in the statistical fluctuation conditions. This scheme could be extended to duplicative observation such as a radar network environment.
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