期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 17, 期 2, 页码 222-226出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2019.2918727
关键词
Clouds; Ice; Laser radar; Radar detection; Liquids; Radar signal processing; Doppler radar moments; Doppler spectra; embedded liquid; mixed-phase clouds; phase classification; radar remote sensing
类别
资金
- NSF [PLR-1443495]
- DOE [DE-SC0017981]
- NSFC [41605019]
- U.S. Department of Energy (DOE) [DE-SC0017981] Funding Source: U.S. Department of Energy (DOE)
Observational knowledge about polar cloud processes requires information about the hydrometeor phase structure of the clouds, preferentially at high resolutions. Therefore, there are various attempts to classify ground-based radar observations using different techniques. In this letter, we examine the potential of detecting air-volumes containing liquid water in polar clouds using the Ka-band zenith-pointing radar (KAZR). We utilized the measurements gathered at Barrow, Alaska, in 2015, to produce comprehensive statistics about the Doppler-radar moments and the Doppler spectra. We find that the cloud-top liquid-bearing cloud layers (LBCLs) can potentially be reliably detected at high percentages with the KAZR when the signal is above the radar noise floor. However, embedded LBCLs are significantly more challenging to detect and could potentially be reliably separated in bulk processing only in exceptional cases, which account for not more than a few tens of percent of these cloud layer occurrences.
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