Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1743–1759, 2021
https://doi.org/10.5194/amt-14-1743-2021
Atmos. Meas. Tech., 14, 1743–1759, 2021
https://doi.org/10.5194/amt-14-1743-2021

Research article 03 Mar 2021

Research article | 03 Mar 2021

A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar

Xiaoyu Hu et al.

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Latest update: 20 Oct 2021
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Short summary
Cloud radars are powerful instruments that can probe detailed cloud structures. However, radar echoes in the lower atmosphere are always contaminated by clutter. We proposed a multi-dimensional probability distribution function that can effectively discriminate low-level clouds from clutter by considering their different features in several variables. We applied this method to the radar observations at the SACOL site and found the results have good agreement with lidar detection.