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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Can Embedded Liquid Cloud Layer Volumes Be Classified in Polar Clouds Using a Single- Frequency Zenith-Pointing Radar?
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Can Embedded Liquid Cloud Layer Volumes Be Classified in Polar Clouds Using a Single- Frequency Zenith-Pointing Radar?

机译：可以使用单频Zenith指向雷达可以嵌入液体云层体积分类在极性云中？

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摘要

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.
机译：关于极性云流程的观测知识需要有关云的水流式相结构的信息，优先于高分辨率。因此，各种尝试使用不同技术对基于地基的雷达观察分类。在这封信中，我们使用KA带Zenith指向雷达（Kazr）检测含有液体水中液体水的空气量的可能性。我们在2015年使用Al Alaska的Barrow聚集的测量，以产生关于多普勒雷达时刻和多普勒光谱的综合统计数据。我们发现，当信号高于雷达噪声地板上方时，可以在高百分比下可能可靠地检测到云顶液覆盖云层（LBCLS）。然而，嵌入式LBCLS显着挑战以检测，并且可能在批量处理中可能在特殊情况下可靠地分开，这占这些云层出现的不超过几十几十个。

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