IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2024)
Validation Method for Spaceborne IPDA LIDAR <inline-formula><tex-math notation="LaTeX">${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$</tex-math></inline-formula> Products via TCCON
Abstract
The successful launch of the first spaceborne CO2 IPDA LIDAR onboard Daqi-1 (DQ-1) in April 2022 marks a milestone in advancing scientific research. However, a notable discrepancy in the physical definitions of ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products between the IPDA LIDAR and TCCON presents a challenge for directly using TCCON for verifying and evaluating the performance of DQ-1’s ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products. To address this, we propose a method based on statistical hypothesis testing to globally validate the ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products derived from the spaceborne LIDAR. Our validation method does not compare DQ-1’s observations with the TCCON observations. We only utilize the useful information from TCCON to simulate the probability distribution of the true ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ value in the LIDAR definition, and then hypothesis testing is adopted for deriving the systematic error. Our method improves the accuracy of computing the systematic error of DQ-1 by over 50% compared to the traditional approach. Up to now, we have produced the first four months (June 2022–September 2022) of DQ-1’s ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products. In this context, we present preliminary validation results based on the four months of data. Based on our method, we have validated that the accuracy of DQ-1’s ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products is 0.1 ± 1 ppm. This approach not only sets the stage for future official global validations of DQ-1’s ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ products but also holds promise for application in upcoming similar missions such as MERLIN and DQ-2.
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