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Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach
Content Provider | MDPI |
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Author | Ahmad, Wiqas Zhang, Kai Tong, Yicheng Xiao, Da Wu, Lingyun Liu, Dong |
Copyright Year | 2022 |
Description | This work presents polarization property studies of water clouds using a circular polarization lidar through a simulation approach. The simulation approach is based on a polarized, semianalytic Monte Carlo method under multiple-scattering conditions and considers three types of water clouds (namely homogeneous, inhomogeneous and partially inhomogeneous). The simulation results indicate that the layer-integrated circular depolarization ratios show similar variation trends as those of layer-integrated linear depolarization ratios. The Mishchenko–Hovenier relationship is validated to correlate the simulated layer-integrated circular and linear depolarization ratios. In addition, the cloud droplet effective radius, extinction coefficient, lidar field-of-view (FOV) and height of the cloud bottom are all found to affect the layer-integrated depolarization ratio. The current work theoretically indicates that a circular polarization lidar can efficiently perform measurements of water clouds, enjoying the advantage of higher sensitivity compared to a traditional linear polarization lidar. Hence, it should be of interest to researchers in fields of polarization lidar applications. |
Starting Page | 1679 |
e-ISSN | 14248220 |
DOI | 10.3390/s22041679 |
Journal | Sensors |
Issue Number | 4 |
Volume Number | 22 |
Language | English |
Publisher | MDPI |
Publisher Date | 2022-02-21 |
Access Restriction | Open |
Subject Keyword | Sensors Marine Engineering Linear and Circular Polarization Lidars Water Clouds Monte Carlo Simulation Linear and Circular Depolarization Ratios Mishchenko–hovenier Relationship |
Content Type | Text |
Resource Type | Article |