3 November 2008 Combination of CALIPSO and geographic information to analysis the aerosol type in different location and acquire the atmospheric parameter
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Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 714525 (2008) https://doi.org/10.1117/12.813059
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Space borne LIDAR is a fire-new method for aerosol observations, it help us to acquire the global data on the structures and optical properties of aerosols. In this paper, a lidar ratio selection algorithm is introduced, since lidar ratio (the aerosol extinction-to-backscatter ratio, a S ) is an important parameter for aerosol retrieval. Then we use an appropriate retrieval algorithm for signals which is observed by a space borne backscatter lidar, after inversion the distribution state of aerosol optical depth can be obtained. The distribution of aerosol optical depth is not only related to the earth's surface and the geographic location of the aerosol emission, but also related to other meteorological factor. Such as turbulent, wind gusts, hurricanes, tornadoes, and land clearing and development activities, all of these cause aerosol drift from initial geographic location.From summer to autumn, the changing characteristic of aerosol optical depth in Central Southern China is analyzed by retrieving the space borne lidar signal. On a short term, through analyze the aerosol distribution, whether or how atmospheric motion influences on aerosol particle diffusion is available.
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Yingying Ma, Yingying Ma, Wei Gong, Wei Gong, Rongliang Zeng, Rongliang Zeng, Pingxiang Li, Pingxiang Li, } "Combination of CALIPSO and geographic information to analysis the aerosol type in different location and acquire the atmospheric parameter", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714525 (3 November 2008); doi: 10.1117/12.813059; https://doi.org/10.1117/12.813059
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