中文 |

Newsroom

Scientists Make More Accurate Analysis of CO2 Measurement Errors with Airborne LIDAR

Nov 11, 2019

The global GHGs (carbon dioxide and methane) levels are critical for studying the global carbon cycle. Space-borne integrated-path differential absorption (IPDA) light detection and ranging (LIDAR) systems can measure carbon dioxide column concentration globally with 1 ppm accuracy on daytime and nighttime.

In a recent study, the research group from Shanghai Institute of Optics and Fine Mechanics (SIOM) of the Chinese Academy of Sciences (CAS) presented the 1.57-μm airborne double-pulse integrated-path differential absorption (IPDA).

The researchers analyzed the random errors and system errors based on the actual flight system parameters of the airborne IPDA LIDAR system, and new airborne correction algorithms were presented. The results were published on Optics Express.

In the simulation, to analyze the relative random error (RRE), the researchers assumed that the detector noise, background noise, and signal noise obey the Gaussian distribution and that the quantization noise exhibits a uniform distribution.

Moreover, the systematic errors caused by the laser pulse energy, linewidth, spectral purity, and frequency drift, as well as the atmospheric parameters related to the flight experiments were also investigated.

This new airborne IPDA LIDAR systems provide a means of verifying the performance of space-borne LIDAR systems as well as data inversion methods used by them.

This work was funded by the ACDL LIDAR project.

 

Fig. 1. Variations in absolute values (V) of (a) online and (b) offline echo voltages. (Image by SIOM)

Sensitivity analysis and correction algorithms for atmospheric CO2 measurements with 1.57-μm airborne double-pulse IPDA LIDAR

Related Articles
Contact Us
  • 86-10-68597521 (day)

    86-10-68597289 (night)

  • 86-10-68511095 (day)

    86-10-68512458 (night)

  • cas_en@cas.cn

  • 52 Sanlihe Rd., Beijing,

    China (100864)

Copyright © 2002 - Chinese Academy of Sciences