Preliminary analysis of global column-averaged CO 2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS
In contrast to the passive remote sensing of global CO 2 column concentrations (XCO 2 ), active remote sensing with a lidar enables continuous XCO 2 measurements throughout the entire atmosphere in daytime and nighttime. The lidar could penetrate most cirrus and is almost unaffected by aerosols. Atm...
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Published in | Optics express Vol. 32; no. 12; p. 21870 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
03.06.2024
|
Online Access | Get full text |
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Summary: | In contrast to the passive remote sensing of global CO
2
column concentrations (XCO
2
), active remote sensing with a lidar enables continuous XCO
2
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 XCO
2
for the first time. In this study, special methods have been developed for ACDL data processing and XCO
2
retrieval. The CO
2
measurement data products of ACDL, including the differential absorption optical depth between the online and offline wavelengths, the integral weighting function, and XCO
2
, are presented. The results of XCO
2
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. |
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ISSN: | 1094-4087 1094-4087 |
DOI: | 10.1364/OE.517736 |