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

Viewed

Total article views: 2,537 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,740 693 104 2,537 121 137
  • HTML: 1,740
  • PDF: 693
  • XML: 104
  • Total: 2,537
  • BibTeX: 121
  • EndNote: 137
Views and downloads (calculated since 18 Jul 2022)
Cumulative views and downloads (calculated since 18 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,537 (including HTML, PDF, and XML) Thereof 2,489 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Apr 2026
Download
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.
Share