Dealiasing of Doppler spectra for cloud radar at 94 GHz

Student Report (2023)
Author(s)

P. Wang (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

C.M.H. Unal – Mentor (TU Delft - Civil Engineering & Geosciences)

J. Dias Neto – Mentor (TU Delft - Civil Engineering & Geosciences)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2023
Language
English
Graduation Date
15-03-2023
Awarding Institution
Delft University of Technology
Programme
Geoscience and Remote Sensing
Faculty
Civil Engineering & Geosciences
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Abstract

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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