Spectral purity study for IPDA lidar measurement of CO2

Hui Ma; Dong Liu; Chen-Bo Xie; Min Tan; Qian Deng; Ji-Wei Xu; Xiao-Min Tian; Zhen-Zhu Wang; Bang-Xin Wang; Ying-Jian Wang

doi:10.1117/12.2315433

20 February 2018 Spectral purity study for IPDA lidar measurement of CO₂

Hui Ma, Dong Liu, Chen-Bo Xie, Min Tan, Qian Deng, Ji-Wei Xu, Xiao-Min Tian, Zhen-Zhu Wang, Bang-Xin Wang, Ying-Jian Wang

Author Affiliations +

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106973N (2018) https://doi.org/10.1117/12.2315433
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

A high sensitivity and global covered observation of carbon dioxide (CO2) is expected by space-borne integrated path differential absorption (IPDA) lidar which has been designed as the next generation measurement. The stringent precision of space-borne CO2 data, for example 1ppm or better, is required to address the largest number of carbon cycle science questions. Spectral purity, which is defined as the ratio of effective absorbed energy to the total energy transmitted, is one of the most important system parameters of IPDA lidar which directly influences the precision of CO2. Due to the column averaged dry air mixing ratio of CO2 is inferred from comparison of the two echo pulse signals, the laser output usually accompanied by an unexpected spectrally broadband background radiation would posing significant systematic error. In this study, the spectral energy density line shape and spectral impurity line shape are modeled as Lorentz line shape for the simulation, and the latter is assumed as an unabsorbed component by CO2. An error equation is deduced according to IPDA detecting theory for calculating the system error caused by spectral impurity. For a spectral purity of 99%, the induced error could reach up to 8.97 ppm.

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Hui Ma, Dong Liu, Chen-Bo Xie, Min Tan, Qian Deng, Ji-Wei Xu, Xiao-Min Tian, Zhen-Zhu Wang, Bang-Xin Wang, and Ying-Jian Wang "Spectral purity study for IPDA lidar measurement of CO₂", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106973N (20 February 2018); https://doi.org/10.1117/12.2315433

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