Twin scanning lidars for accurate measurement of lower tropospheric aerosols by numerical approximation
- 20 April 2018
- journal article
- research article
- Published by Optica Publishing Group in Applied Optics
- Vol. 57 (12), 3065-3071
- https://doi.org/10.1364/AO.57.003065
Abstract
In order to improve accuracy of aerosol measurements, a novel method using twin scanning lidars is presented; this method is able to overcome the incomplete overlap range of vertical lidar as well as provide 2D spatial distributions. The scanning lidar setups in the opposite directions are employed as remote sensing tools. Aerosol measurements are performed with cross scanning from the ground to the height of interest. Aerosol optical properties are retrieved using numerical approximation, in which differences between the measured values and the constructed values of the logarithmic range-square-corrected lidar data in the cross-scanning region are minimized. In the data retrieval, we utilize a matrix formulation, in which a Cartesian 2D range-height-indicator diagram is constructed. To verify this method, scanning measurements by ultraviolet Mie scanning lidar performed at different time intervals were taken as the cross-scanning measurements from the twin scanning lidars. With the retrieved spatial distributions of aerosol optical properties, such as aerosol backscatter, aerosol extinction, and lidar ratio, the regional aerosol studies showed that aerosol loading was relatively small and in the presence of multiple layers, which may be influenced by airflow from long-range transportation and cause a large impact on the local environment. To conclude, the presented method using twin scanning lidars is feasible for aerosol measurement in the application of horizontally atmospheric inhomogeneity. (C) 2018 Optical Society of AmericaFunding Information
- National Natural Science Foundation of China (NSFC) (41305023, 41627807, 41775035)
- China Postdoctoral Science Foundation (2014M560799)
- Science and Technology Program of Shaanxi Province, China (2014KJXX-64)
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