摘要
在星载激光雷达的设计、研制和数据反演过程中,正演模型起到至关重要的作用。建立了一套星载激光雷达探测云与气溶胶的正演模型,整个模型具有模拟冰云场景、气溶胶场景等复杂多场景的能力,由8个子模块构成。针对532 nm通道的模拟结果表明:在深对流场景中的云层深厚,信号衰减严重,仅能获取云顶分布信息;而在冰云和气溶胶的场景中,需要考虑云层的微物理特性对气溶胶有效探测的影响。望远镜直径、卫星轨道高度和激光器单脉冲能量对信噪比的影响结果可以为星载激光雷达的参数设计提供支持。与CALIOP/CALIPSO实际探测结果的对比表明,正演模型计算的衰减后向散射系数与实际观测结果在结构分布上基本一致,但由于CALIPSO反演算法的不确定性及与正演模型参数设置上的差异性,在多廓线平均值的对比中,在不同高度上存在一定的差异。
In the design, development, and data inversion of spaceborne lidar, the forward model is critical. This study establishes a forward model for observing clouds and aerosols using spaceborne lidar. It can simulate ice clouds and aerosols, as well as other complex scenes. The model as a whole is made up of 8 sub-modules. The simulation results in the 532-nm channel show that in the deep convection scenarios, the clouds are deep and the signal attenuation is serious, thus, only the distribution of the cloud top can be distinguished. The influence of cloud microphysical characteristics on the effective detection of aerosols must be considered in the ice cloud and aerosol scenes. In terms of parameter sensitivity analysis, the relationship between telescope diameter, satellite orbit altitude, laser single pulse energy, and the signal-to-noise ratio can help with instrument design. The comparison of the attenuation backscattering coefficient calculated by the forward model with the actual detection results of CALIOP/CALIPSO shows a good consistency in the structure of spatial distribution. However, owing to the uncertainty in the CALIPSO inversion algorithm and the difference in parameter settings between the inversion and the forward model, some minor differences at different altitudes when comparing the average of all profiles remain.
作者
廖淑君
郜海阳
寇蕾蕾
康佳慧
卜令兵
王震
Liao Shujun;Gao Haiyang;Kou Leilei;Kang Jiahui;Bu Lingbing;Wang Zhen(Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science&Technology,Nanjing 210044,Jiangsu,China;School of Atmospheric Physics,Nanjing University of Information Science&Technology,Nanjing 210044,Jiangsu,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2022年第10期388-401,共14页
Laser & Optoelectronics Progress
基金
国家自然科学基金(41304124,41975027)
国家重点研发计划(2017YFC1501401)。
关键词
星载激光雷达
正演模型
主动遥感
云与气溶胶
spaceborne lidar
forward model
active remote sensing
cloud and aerosol
