Data Fusion Analysis for Active - Passive Cloud Lidar Measurement System

Abstract

Abstract:

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 integrating of 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.

Key words: ceilometer, lidar, the whole sky imager, cloud height, cloud amount

CLC Number:

P426.5

SHEN Hong-Chao, SONG Xiao-Quan, SUN Zhao-Bin, WANG Xiao-Peng, DAI Guang-Yao, WU Song-Hua. Data Fusion Analysis for Active - Passive Cloud Lidar Measurement System[J]. Journal of Atmospheric and Environmental Optics, 2015, 10(1): 11-21.

References

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Data Fusion Analysis for Active - Passive Cloud Lidar Measurement System

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