Abstract

An integrated path differential absorption (IPDA) lidar can accurately measure regional ${{\rm CO}_2}$ weighted column average concentrations (${{\rm XCO}_2}$), 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 ${{\rm XCO}_2}$ 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 ${{\rm XCO}_2}$ 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 ${{\rm XCO}_2}$ over the validation site at 405.57 ppm, and both the IPDA lidar and GGA measured sudden changes in the ${{\rm CO}_2}$_{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 ${{\rm XCO}_2}$ 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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