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Earth observation and atmospheric sounding based on a high spectral resolution lidar

机译:基于高光谱分辨率激光雷达的地球观测和大气探测

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Obtain accurate detection data on the distribution of water vapor and aerosol is the basis for researches on numerical weather prediction and dynamic meteorology. It also has great importance for finding haze formation and digestion mechanism. In this paper, the high spectral resolution lidar (HSRL) is employed to obtain the optical properties of the atmosphere such as optical depth and backscatter coefficient which are very helpful to get the accurate detection data on distribution and Interaction of water vapor and aerosol continuously. A forward simulation model is established to simulate the typical atmospheric conditions and aerosol distribution, and considered the presence of sunlight during the day and the background noise. The simulation result shows that the HSRL proposed here can perform well with satisfactory measurement accuracy for the altitudes below 8km, which is better than 10%, so that HSRL is very helpful to the improvement of the accuracy of weather forecasts and to the study on the prevention and control measures of haze and other weather disasters.
机译:获得水蒸气分布的准确检测数据,气溶胶是对数值天气预报和动态气象的研究的基础。它还非常重视寻找雾度形成和消化机制。在本文中,采用高光谱分辨率LIDAR(HSRL)来获得光学深度和反向散射系数的大气的光学性质,这非常有助于获得水蒸气和气溶胶的分布和相互作用的准确检测数据。建立了前向仿真模型,以模拟典型的大气条件和气溶胶分布,并考虑白天阳光的存在和背景噪音。仿真结果表明,这里提出的HSRL可以良好地表现出令人满意的测量精度,以低于8km的高度,这优于10%,因此HSRL对改善天气预报的准确性以及对研究的准确性非常有帮助阴霾和其他天气灾害的预防和控制措施。

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