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Lidar Monitoring of Clouds

机译:LIDAR监测云

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摘要

The lidar has long been proposed as a potential remote sensor of cloud microphysical and optical parameters. The conventional lidar has had only mixed success because retrieval in a medium of such density requires an independently measured boundary value deep in the cloud and a relation between backscatter and extinction. The solution we propose is to make detection at multiple fields of view (MFOV) and exploit the additional information provided by multiple scattering. In this paper, we compare MFOV-based lidar retrievals with in situ measurements of the liquid water content and droplet diameters in liquid-phase stratus clouds. The results show good correlation between the lidar solutions and the in situ data, but a constant bias of 20-30% depending on the parameter. The bias is reduced to 10% if comparisons are restricted to the cloud base region accessible to the lidar. Another significant conclusion is that the lidar solutions are, within 20-30%, statistically representative of the complete layer in spite of the limited penetration range.
机译:LIDAR长期以来提出为云微动物和光学参数的潜在远程传感器。传统的LIDAR已经仅具有混合的成功,因为这种密度的介质中的检索需要在云中深度的独立测量的边界值和反向散射和灭绝之间的关系。我们提出的解决方案是在多个视野(MFOV)处进行检测,并利用多个散射提供的附加信息。在本文中,我们将基于MFOV的激光雷达检索与液相层状云中的液体含水量和液滴直径的原位测量进行比较。结果显示LIDAR解决方案与原位数据之间的良好相关性,但根据参数,恒定偏差为20-30%。如果对LIDAR可访问的云基区域限制,则偏置减少到10%。另一种重要的结论是LIDAR溶液在20-30%之内,尽管渗透范围有限,完整层的统计学代表性。

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