AI Article Synopsis

  • An integrated path differential absorption (IPDA) lidar system is critical for accurately measuring regional carbon concentrations essential for climate change research.
  • In July 2021, a validation experiment in Dunhuang, China, used an aircraft equipped with a lidar and greenhouse gas analyzer to test the system's performance and minimize measurement errors.
  • The IPDA lidar recorded a concentration of 405.57 ppm, showing similar trends with in situ measurements, while biases in measurements from both the ground analyzer and assimilation data were noted at 0.80 ppm and 1.12 ppm, respectively.

Article Abstract

An integrated path differential absorption (IPDA) lidar can accurately measure regional weighted column average concentrations ( ), which are crucial for understanding the carbon cycle in climate change studies. To verify the performance and data inversion methods of space-borne IPDA lidar, in July 2021, we conducted an airborne lidar validation experiment in Dunhuang, Gansu Province, China. An aircraft was equipped with a lidar system developed to measure and an in situ greenhouse gas analyzer (GGA). To minimize measurement errors, energy monitoring was optimized. The system bias error of the DAOD was determined by changing the laser output mode from the off/on to the on/on mode. The inversion results obtained through comparing the schemes of averaging signals before "log (logarithm)" and averaging after "log" indicate that the former performs better. The IPDA lidar measured over the validation site at 405.57 ppm, and both the IPDA lidar and GGA measured sudden changes in the concentration. The assimilation data showed a similar trend according to the altitude to the data measured by the in situ instrument. A comparison of the mean derived from the GGA results and assimilation data with the IPDA lidar measurements showed biases of 0.80 and 1.12 ppm, respectively.

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Source
http://dx.doi.org/10.1364/AO.507905DOI Listing

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