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Ground return signal simulation and retrieval algorithm of spaceborne integrated path DIAL for CO_2 measurements

机译:星载综合路径DIAL的CO_2测量地面回波信号仿真与检索算法

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Spacebome integrated path differential absorption (IPDA) lidar is an active-detection system which is able to perform global CO_2 measurement with high accuracy of lppmv at day and night over ground and clouds. To evaluate the detection performance of the system, simulation of the ground return signal and retrieval algorithm for CO_2 concentration are presented in this paper. Ground return signals of spaceborne IPDA lidar under various ground surface reflectivity and atmospheric aerosol optical depths are simulated using given system parameters, standard atmosphere profiles and HITRAN database, which can be used as reference for determining system parameters. The simulated signals are further applied to the research on retrieval algorithm for CO_2 concentration. The column-weighted dry air mixing ratio of CO_2 denoted by XCO_2 is obtained. As the deviations of XCO_2 between the initial values for simulation and the results from retrieval algorithm are within the expected error ranges, it is proved that the simulation and retrieval algorithm are reliable.
机译:Spacebome集成路径差分吸收(IPDA)激光雷达是一种主动检测系统,能够在白天和黑夜在地面和云层上以1ppmv的高精度执行全局CO_2测量。为了评估系统的探测性能,本文提出了地面返回信号的仿真和CO_2浓度的检索算法。使用给定的系统参数,标准大气廓线和HITRAN数据库,模拟了在各种地表反射率和大气气溶胶光学深度下的星载IPDA激光雷达的地面返回信号,这些信号可以用作确定系统参数的参考。仿真信号进一步应用于CO_2浓度反演算法的研究。得到以XCO_2表示的CO_2的柱重干燥空气混合比。由于仿真初始值与检索算法结果之间的XCO_2偏差在预期误差范围内,因此证明了仿真与检索算法是可靠的。

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