JD
J. Dias Neto
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This study investigates radar measurements of small cloud particles using a 94-GHz cloud radar, focusing on backscattering cross-section, Doppler velocity, and associated aliasing effects. The Rayleigh scattering regime allows sensitive detection of cloud droplets, but high-frequency radar introduces challenges, including limited maximum unambiguous Doppler velocity and aliasing. Existing dealiasing methods often rely on spatial and temporal continuity or specialized radar modes, which are unavailable for the radar used in this study. A dealiasing method based on spatial and temporal continuity is developed, applied, and evaluated to improve the accuracy of mean Doppler velocity and radar-derived cloud measurements.
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This study investigates radar measurements of small cloud particles using a 94-GHz cloud radar, focusing on backscattering cross-section, Doppler velocity, and associated aliasing effects. The Rayleigh scattering regime allows sensitive detection of cloud droplets, but high-frequency radar introduces challenges, including limited maximum unambiguous Doppler velocity and aliasing. Existing dealiasing methods often rely on spatial and temporal continuity or specialized radar modes, which are unavailable for the radar used in this study. A dealiasing method based on spatial and temporal continuity is developed, applied, and evaluated to improve the accuracy of mean Doppler velocity and radar-derived cloud measurements.