Improved spectral processing for a multi-mode pulse compression Ka–Ku-band cloud radar system

Abstract. Cloud radars are widely used in observing clouds and precipitation. However, the raw data products of cloud usually affected by multiple factors, which may lead to misinterpretation precipitation processes. In this study, we present a Doppler-spectra-based processing framework improve quality multi-mode pulse-compressed Ka–Ku radar system. Firstly, non-meteorological signal close ground was identified with enhanced Doppler spectral ratios between different modes. Then, for spectrum range sidelobe due implementation pulse compression technique, characteristics probability density distribution power were identify artifacts. Finally, spectra observations from modes merged via shift-then-average approach. The new moment generated based on data. presented applied stratiform event, quantitative evaluation shows good performance clutter or suppression merging.