Articles | Volume 16, issue 6
https://doi.org/10.5194/amt-16-1461-2023
https://doi.org/10.5194/amt-16-1461-2023
Research article
 | 
21 Mar 2023
Research article |  | 21 Mar 2023

Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2)

Steffen Mauceri, Steven Massie, and Sebastian Schmidt

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Latest update: 20 Nov 2024
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Short summary
The Orbiting Carbon Observatory-2 makes space-based measurements of reflected sunlight. Using a retrieval algorithm these measurements are converted to CO2 concentrations in the atmosphere. However, the converted CO2 concentrations contain errors for observations close to clouds. Using a simple machine learning approach, we developed a model to correct these remaining errors. The model is able to reduce errors over land and ocean by 20 % and 40 %, respectively.