主被动结合的云激光雷达测量系统数据融合分析

Data Fusion Analysis for Active-Passive Cloud Lidar Measurement System

云高、云量的自动化仪器定量观测对于气象业务非常重要,不同数据的有效融合分析对于气象业务来说意义重大。云测量系统硬件上集成了激光云高仪、全天空成像仪探测模块,使得云高、云量的观测数据在时间、地点上高度统一,结合激光云高仪的剖面数据和全天空成像仪的云二维分布数据做了初步融合分析,进行精确的云高判别、云量反演与云种分类研究。通过数据融合,利用全天空图像可以消除云高仪在雾霾天气下对云底的误判,同时利用云高数据可以估计全天空云的空间分布而对云进行了更精确的分类。实际上,将云高、云量数据融合分析是气象业务观测的发展方向。

Cloud height and cloud amount are very essential for the meteorological service in the automatic and quantitative measurement and effective data analysis from different device is of great significance. A cloud measurement system intergating two different modules for cloud height and cloud amount have been developed, so that cloud height and cloud amount can be obtained at the same time and place. And then, combined with profile data of cloud height and cloud two-dimensional distribution in the sky, a preliminary analysis of data fusion for cloud amount, cloud height and cloud classification is made. Through the data fusion, sky images of the whole sky imager can be used to identify the fog haze and improve the cloud height recognition accuracy. Moreover, the analysis of the whole sky image can obtain total cloud amount. With the data of cloud height,the spatial distribution of the cloud in the sky can be estimated and more accurate cloud classification can be achieved. In fact, data fusion analysis of cloud height and cloud amount is the development direction of the meteorological service