Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS.

Abstract

In contrast to the passive remote sensing of global CO₂ column concentrations (XCO₂), active remote sensing with a lidar enables continuous XCO₂ measurements throughout the entire atmosphere in daytime and nighttime. The lidar could penetrate most cirrus and is almost unaffected by aerosols. Atmospheric environment monitoring satellite (AEMS, also named DQ-1) aerosol and carbon dioxide detection Lidar (ACDL) is a novel spaceborne lidar that implements a 1572 nm integrated path differential absorption (IPDA) method to measure the global XCO₂ for the first time. In this study, special methods have been developed for ACDL data processing and XCO₂ retrieval. The CO₂ measurement data products of ACDL, including the differential absorption optical depth between the online and offline wavelengths, the integral weighting function, and XCO₂, are presented. The results of XCO₂ measurements over the period from 1^st June 2022 to 30^th June 2022 (first month data of ACDL) are analyzed to demonstrate the measurement capabilities of the spaceborne ACDL system.