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首页> 外文会议>Remote Sensing of Clouds and the Atmosphere XII; Proceedings of SPIE-The International Society for Optical Engineering; vol.6745 >A semianalytic Monte Carlo code for modelling LIDAR measurements
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A semianalytic Monte Carlo code for modelling LIDAR measurements

机译：半解析蒙特卡罗代码，用于建模LIDAR测量

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摘要

LIDAR (Light Detection and Ranging) is an optical active remote sensing technology with many applications in atmospheric physics. Modelling of LIDAR measurements appears useful approach for evaluating the effects of various environmental variables and scenarios as well as of different measurement geometries and instrumental characteristics. In this regard a Monte Carlo simulation model can provide a reliable answer to these important requirements. A semianalytic Monte Carlo code for modelling LIDAR measurements has been developed at ISAC-CNR. The backscattered laser signal detected by the LIDAR system is calculated in the code taking into account the contributions due to the main atmospheric molecular constituents and aerosol particles through processes of single and multiple scattering. The contributions by molecular absorption, ground and clouds reflection are evaluated too. The code can perform simulations of both monostatic and bistatic LIDAR systems. To enhance the efficiency of the Monte Carlo simulation, analytical estimates and expected value calculations are performed. Artificial devices (such as forced collision, local forced collision, splitting and russian roulette) are moreover foreseen by the code, which can enable the user to drastically reduce the variance of the calculation.
机译：LIDAR（光检测和测距）是一种光学有源遥感技术，在大气物理学中有许多应用。 LIDAR测量的建模似乎是评估各种环境变量和场景以及不同测量几何形状和仪器特性的影响的有用方法。在这方面，蒙特卡洛仿真模型可以为这些重要要求提供可靠的答案。在ISAC-CNR上已开发出用于对LIDAR测量建模的半解析蒙特卡洛代码。由LIDAR系统检测到的反向散射激光信号是在代码中计算的，其中考虑到了主要的大气分子成分和气溶胶颗粒通过单次和多次散射过程产生的影响。还评估了分子吸收，地面和云层反射的贡献。该代码可以执行单基地和双基地激光雷达系统的仿真。为了提高蒙特卡洛模拟的效率，执行了分析估计和期望值计算。此外，该代码还预见了人工设备（例如强制碰撞，局部强制碰撞，拆分和俄罗斯轮盘赌），这可以使用户极大地减少计算的方差。

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