参数化的多次散射雷达方程和它的反演理论 Ⅱ:反演理论

Parameterized Multiple Scatter Lidar Equation and Its Inversion TheoryPart II:Inversion Theory

本文根据参数化的多次散射雷达方程,分析了激光多次散射对激光回波信号和一次散射雷达方程反演结果的效应,提出了迭代前向积分法和迭代后向积分法以求解参数化的多次散射雷达方程,并根据多次散射信号对云和气溶胶的前向散射相函数的高度敏感性提出了一个从双接收视场的多次散射激光回波信号,同时确定云和气溶胶消光系数分布和前向散射相函数的方法.此外,本文还根据数值试验分析了这些反演方法在地基激光雷达和空间站激光雷达两种情形下的适用性.

According to a parameterized multiple- scatter lidar equation , this paper analyzes the effect of multiple scattering on laser return signals and its effect on the inversion result of lidar equation with the single- scatter assumption, proposes three methods for solving the parameterized multiple scatter equation . The first two methods are the iterative forward integration method and the iterative backscatter integration method , and in the third method the cloud ( or aerosol Extinction coefficient distribution and its forward scattering phase function are simultaneously determined from two- receiving width multiply scattered lidar return signals, based on strong sensitivity of the multiple scattering to the phase function . Furthermore , suitableness of those methods in the two cases of ground- based lidar and spaceborne lidar is analyzed through numerical experiments.