15 Jun 2022
15 Jun 2022
Status: this preprint is currently under review for the journal AMT.

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

Han Ding1,2, Haoran Li2,3, and Liping Liu2 Han Ding et al.
  • 1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
  • 2State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
  • 3Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland

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

Han Ding et al.

Status: open (until 21 Jul 2022)

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Han Ding et al.

Han Ding et al.


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Short summary
In this study, a framework for processing the Doppler spectra observations of a multi-mode pulse compression Ka/Ku cloud radar system is presented. We first proposed an approach to identify and remove the clutter signals in the Doppler spectrum. Then, we developed a new algorithm to remove the range sidelobe at the modes implementing the pulse compression technique. The radar observations from different modes were then merged using the shift-then-average method.