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Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET

机译:激光雷达/辐射计数据组合的垂直气溶胶性能检索的激光雷达辐射器反转码(栅格):芦林中的开发和分布

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This paper presents a detailed description of LIRIC?(LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles. As the lidar/radiometric input data we use measurements from European Aerosol Research Lidar Network?(EARLINET) lidars and collocated sun-photometers of Aerosol Robotic Network?(AERONET). The LIRIC data processing provides sequential inversion of the combined lidar and radiometric data. The algorithm starts with the estimations of column-integrated aerosol parameters from radiometric measurements followed by the retrieval of height dependent concentrations of fine and coarse aerosols from lidar signals using integrated column characteristics of aerosol layer as a priori constraints. The use of polarized lidar observations allows us to discriminate between spherical and non-spherical particles of the coarse aerosol mode.The LIRIC software package was implemented and tested at a number of EARLINET stations. Intercomparison of the LIRIC-based aerosol retrievals was performed for the observations by seven EARLINET lidars in Leipzig, Germany on 25 May 2009. We found close agreement between the aerosol parameters derived from different lidars that supports high robustness of the LIRIC algorithm. The sensitivity of the retrieval results to the possible reduction of the available observation data is also discussed.
机译:本文介绍了栅格的详细描述,用于同时处理重合潮汐和辐射数(太阳光度)的检测,用于检索气溶胶浓度垂直型材的观察。作为LIDAR /辐射计数输入数据,我们使用欧洲气溶胶研究激光雷达网络的测量值?(Earlinet)潮热乐机器机器人网络的Lidars和Consocated Sun-Chercometers?(AeroNet)。栅格数据处理提供了组合的激光雷达和辐射数据的顺序反演。该算法从辐射测量的校集柱集成气溶胶参数的估计开始,然后使用气溶胶层的集成柱特性作为先验限制,从LIDAR信号中检索高度依赖性浓度的精细和粗气溶胶的高度依赖性浓度。偏振光雷达观测的使用使我们能够区分粗气溶胶模式的球形和非球形颗粒。在许多耳线站中实现和测试了栅格软件包。 2009年5月25日,在德国莱比锡的七个耳环激光乐队进行了依据依据基于雷林雷达尔的互相熟练。我们发现了从支持普雷斯算法的高稳健性的不同亮度的气溶胶参数之间发现了密切一致。还讨论了检索结果对可用观察数据的可能降低的敏感性。
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