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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:激光雷达辐射计反演代码(LIRIC),用于从激光雷达/辐射计组合数据中检索垂直气溶胶特性:EARLINET中的开发和分布

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摘要

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.
机译:本文介绍了LIRIC(激光雷达辐射计反演代码)算法的详细说明,该算法可同时处理激光雷达和辐射(太阳光度学)观测,以获取气溶胶浓度垂直剖面。作为激光雷达/辐射测量输入数据,我们使用了来自欧洲Aerosol Research激光雷达网络(EARLINET)激光雷达的测量结果以及Aerosol机器人网络(AERONET)的并置太阳光度计。 LIRIC数据处理可对组合的激光雷达和辐射数据进行顺序反演。该算法首先从辐射测量值估计出与气柱综合的气溶胶参数,然后使用气溶胶层的综合气柱特征作为先验约束条件,从激光雷达信号中检索与高度相关的细气溶胶和粗气溶胶浓度。极化激光雷达观测的使用使我们能够区分粗糙气溶胶模式的球形和非球形粒子。

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