Can Embedded Liquid Cloud Layer Volumes Be Classified in Polar Clouds Using a Single- Frequency Zenith-Pointing Radar?
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. Here, we examine the potenti...
| Published in: | IEEE Geoscience and Remote Sensing Letters |
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| Main Authors: | , , , |
| Language: | unknown |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://www.osti.gov/servlets/purl/1779348 https://www.osti.gov/biblio/1779348 https://doi.org/10.1109/lgrs.2019.2918727 |
| Summary: | 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. Here, 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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