首页> 外文会议>Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 8th, Jun 25-29, 2001, Irkutsk, Russia >How precisely an equation must describe the return signal of a spaceborne lidar system to allow for the retrieval of cloud parameters?
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How precisely an equation must describe the return signal of a spaceborne lidar system to allow for the retrieval of cloud parameters?

机译:一个方程式必须如何精确地描述一个星载激光雷达系统的返回信号,以便获取云参数?

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摘要

The return of a spaceborne lidar system contains essential contributions from multiple scattering. Hence, methods for the retrieval of cloud parameters from such returns must be based on equations which take into account such multiple scattering. The more precisely this is done the more complicated these equations will be and the less chances are to be able to retrieve the parameters. At least this is true for retrieval procedures which are based on solving integro-differential equations. Hence, in such a case it is necessary to use simplified equations to describe such returns. Such simplified equations may be equations which introduce a correction term into the classical (single scattering) lidar equation or which take into account one or two orders of multiple scattering only or which have the form of some sophisticated exponential series including knowledge of depolarization. Of course, it is necessary to check the validity of such approximative multiple scattering lidar equations. We show simulations of lidar returns from different clouds. These simulations are obtained by variance reduction Monte Carlo methods which are based on an exact multiple scattering lidar equation obtained within the framework of a stochastic model for the transport of polarized light through the atmosphere. These simulations demonstrate the great importance of the contributions from multiple scattering to the return signal, the diffusion of the laser beam in the cloud seen from the receiver, the difficulty of determining the type and the location of the particles contributing to the return, and the need of careful analysis of returns of spaceborne lidar systems. We show simulations of such returns from clouds of aerosols (randomly oriented oblate and prolate spheroids) and a sensitivity analysis for such returns from water clouds with varying extinction coefficient and droplet size distribution. The simulations and the sensitivity analysis clearly show that the validity of retrieval procedures based on approximative multiple scattering lidar equations has to be examined with care.
机译:星载激光雷达系统的返回包含来自多重散射的重要贡献。因此,用于从这样的返回中检索云参数的方法必须基于考虑了这种多重散射的方程。执行的越精确,这些方程将越复杂,并且能够检索参数的机会就越少。至少对于基于求解积分微分方程的检索过程而言,这是正确的。因此,在这种情况下,有必要使用简化的方程式来描述这种回报。这样的简化方程可以是将校正项引入经典(单散射)激光雷达方程的方程,或者仅考虑一阶或二阶多次散射的方程,或者具有包括去极化知识的一些复杂指数级数形式。当然,有必要检查这种近似的多重散射激光雷达方程的有效性。我们显示了来自不同云层的激光雷达回报的模拟。这些模拟是通过基于蒙特卡洛方差减少方法获得的,该方法基于在偏振模型通过大气传输的随机模型框架内获得的精确多重散射激光雷达方程。这些模拟表明,多重散射对返回信号的贡献,从接收器看到的云中激光束的扩散,确定影响返回的粒子的类型和位置的难度以及需要仔细分析星载激光雷达系统的回报。我们显示了从气溶胶云(随机排列的扁球和扁球体)的这种返回的模拟,以及对具有不同消光系数和液滴尺寸分布的水云的这种返回的敏感性分析。仿真和灵敏度分析清楚地表明,必须仔细检查基于近似多重散射激光雷达方程的检索程序的有效性。

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