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基于2010年3、4月份的CALIOP(Cloud-Aerosol LiDAR with Orthogonal Polarization)激光雷达后向散射数据,给出了利用交互式数据语言IDL(Interactive Data Language)处理数据的新方法,得出大气后向散射及各参数的空间分布图;在此基础上深入研究了北京地区春季沙尘天气大气分布状况。对沙尘暴在可见光和红外光波段的后向散射、退偏振比以及分布高度的研究结果表明:大气对激光的后向散射信号及各参数的空间分布图可以描绘出大气各组分及其分布情况,如气溶胶、沙尘暴和云等的空间分布情况;利用NILU提供的沙尘暴追踪图,确定了沙尘暴来源,为研究沙尘暴对气候的影响提供了重要依据。
Based on the backscattering data of CALIOP (Cloud-Aerosol LiDAR with Orthogonal Polarization) in March and April of 2010, a new method of data processing using Interactive Data Language (IDL) is presented. The atmospheric backward Scattering and spatial distribution of each parameter. On this basis, the atmospheric distribution of dust in Beijing in spring was further studied. The results of backscattering, depolarization ratio and distribution height of the sandstorm in the visible and infrared bands show that the atmospheric backscattering signal of the laser and the spatial distribution of each parameter can depict the composition of the atmosphere and its distribution Such as the spatial distribution of aerosols, sandstorms and clouds. Using the sandstorm tracing map provided by NILU, the sources of dust storms were identified, which provided an important basis for studying the impact of dust storms on the climate.