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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:获得关于水汽和气溶胶分布的准确检测数据是开展数值天气预报和动态气象学研究的基础。这对于寻找霾的形成和消化机理也具有重要意义。本文采用高光谱分辨率的激光雷达(HSRL)来获取大气的光学特性,例如光学深度和后向散射系数,这对于连续不断地获取关于水汽和气溶胶的分布和相互作用的准确检测数据非常有帮助。建立了一个正向模拟模型来模拟典型的大气条件和气溶胶分布,并考虑了白天阳光的存在和背景噪声。仿真结果表明,本文提出的HSRL在8 km以下的海拔上表现良好,优于10%,可以取得令人满意的测量精度。预防和控制雾霾和其他天气灾害。

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