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首页> 外文期刊>Applied optics >Aerosol lidar intercomparison in the framework of the EARLINET project. 2. Aerosol backscatter algorithms
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Aerosol lidar intercomparison in the framework of the EARLINET project. 2. Aerosol backscatter algorithms

机译:EARLINET项目框架中的气溶胶激光雷达比对。 2.气溶胶反向散射算法

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An intercomparison of aerosol backscatter lidar algorithms was performed in 2001 within the framework of the European Aerosol Research Lidar Network to Establish an Aerosol Climatology (EARLINET). The objective of this research was to test the correctness of the algorithms and the influence of the lidar ratio used by the various lidar teams involved in the EARLINET for calculation of backscatter-coefficient profiles from the lidar signals. The exercise consisted of processing synthetic lidar signals of various degrees of difficulty. One of these profiles contained height-dependent lidar ratios to test the vertical influence of those profiles on the various retrieval algorithms. Furthermore, a realistic incomplete overlap of laser beam and receiver field of view was introduced to remind the teams to take great care in the nearest range to the lidar. The intercomparison was performed in three stages with increasing knowledge on the input parameters. First, only the lidar signals were distributed; this is the most realistic stage. Afterward the lidar ratio profiles and the reference values at calibration height were provided. The unknown height-dependent lidar ratio had the largest influence on the retrieval, whereas the unknown reference value was of minor importance. These results show the necessity of making additional independent measurements, which can provide us with a suitable approximation of the lidar ratio. The final stage proves in general, that the data evaluation schemes of the different groups of lidar systems work well.
机译:2001年在欧洲气溶胶研究激光雷达网络的框架内对气溶胶反向散射激光雷达算法进行了比较,以建立气溶胶气候学(EARLINET)。这项研究的目的是测试算法的正确性以及EARLINET中涉及的各个激光雷达团队使用的激光雷达比率对从激光雷达信号计算反向散射系数剖面的影响。该练习包括处理各种难度的合成激光雷达信号。这些配置文件之一包含高度相关的激光雷达比率,以测试这些配置文件对各种检索算法的垂直影响。此外,引入了现实的激光束和接收器视野的不完全重叠,以提醒团队在距激光雷达最近的范围内要格外小心。在增加输入参数知识的三个阶段进行了比对。首先,仅分配了激光雷达信号。这是最现实的阶段。之后,提供了激光雷达比率曲线和标定高度的参考值。未知的与高度相关的激光雷达比率对检索的影响最大,而未知的参考值次要。这些结果表明有必要进行额外的独立测量,这可以为我们提供合适的激光雷达比近似值。最后阶段总体上证明了不同组激光雷达系统的数据评估方案效果很好。

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