부산대학교 도서관

The water cloud plays an important role in the energy balance as well as the precipitation processes of the Earth system. The aerosol-cloud-precipitation interaction still contributes very large uncertainties for the climate prediction. Lidar is a powerful tool for cloud detection as the properties of cloud base can be obtained with high temporal-spatial resolution. Due to the effective radius of cloud droplet is quite large comparing with laser wavelength, the single scattering lidar equation cannot be used directly for cloud lidar as the multiple scattering effects cannot be ignored. Accurate forward model accounting for the multiple scattering effects is the foundation for the retrieval of cloud extinction coefficient and maybe also other micro-physical properties of cloud. In this paper, a semi-analytic Monte Carlo (MC) simulation program is developed for multiple scattering effects modeling in cloud lidar. And then MC simulations are performed for different lidar parameters (mainly different receiving field of view, FOV) with different cloud models and the simulation results are compared with the semi-analytical/analytical models based on the quasi-small-angle (QSA) approximation. The results demonstrate that the semi-analytical/analytical multiple scattering models based on QSA approximation have acceptable accuracy for ground-based cloud lidar applications in most cases. According to these simulations, we also examined the possibility for retrieving the extinction coefficients and the effective radius of water cloud simultaneously with multi-FOV lidar and optimal design of the multi-FOV lidar would be also talked.