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用于水汽和温度剖面测量的地基差分吸收激光雷达:方法学

Ground-based differential absorption lidar for water-vapor and temperature profiling: methodology.

作者信息

Bösenberg J

出版信息

Appl Opt. 1998 Jun 20;37(18):3845-60. doi: 10.1364/ao.37.003845.

Abstract

A comprehensive formulation of the differential absorption lidar (DIAL) methodology is presented that explicitly includes details of the spectral distributions of both the transmitted and the backscattered light. The method is important for high-accuracy water-vapor retrievals and in particular for temperature measurements. Probability estimates of the error that is due to Doppler-broadened Rayleigh scattering based on an extended experimental data set are presented, as is an analytical treatment of errors that are due to averaging in the nonlinear retrieval scheme. System performance requirements are derived that show that water-vapor retrievals with an accuracy of better than 5% and temperature retrievals with an accuracy of better than 1 K in the entire troposphere are feasible if the error that results from Rayleigh-Doppler correction can be avoided. A modification of the DIAL technique, high-spectral-resolution DIAL avoids errors that are due to Doppler-broadened Rayleigh backscatter and permits simultaneous water-vapor and wind measurements with the same system.

摘要

本文提出了一种差分吸收激光雷达(DIAL)方法的综合公式,该公式明确包含了发射光和后向散射光的光谱分布细节。该方法对于高精度水汽反演非常重要,特别是对于温度测量。基于扩展实验数据集给出了因多普勒展宽瑞利散射导致的误差概率估计,以及对非线性反演方案中平均误差的解析处理。推导了系统性能要求,结果表明,如果能避免瑞利 - 多普勒校正产生的误差,那么在整个对流层中实现精度优于5%的水汽反演和精度优于1K的温度反演是可行的。DIAL技术的一种改进——高光谱分辨率DIAL,避免了因多普勒展宽瑞利后向散射导致的误差,并允许使用同一系统同时进行水汽和风的测量。

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