Articles | Volume 18, issue 8
https://doi.org/10.5194/amt-18-1859-2025
https://doi.org/10.5194/amt-18-1859-2025
Research article
 | 
25 Apr 2025
Research article |  | 25 Apr 2025

Mitigation of satellite OCO-2 CO2 biases in the vicinity of clouds with 3D calculations using the Education and Research 3D Radiative Transfer Toolbox (EaR3T)

Yu-Wen Chen, K. Sebastian Schmidt, Hong Chen, Steven T. Massie, Susan S. Kulawik, and Hironobu Iwabuchi

Viewed

Total article views: 868 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
433 119 316 868 25 23
  • HTML: 433
  • PDF: 119
  • XML: 316
  • Total: 868
  • BibTeX: 25
  • EndNote: 23
Views and downloads (calculated since 08 Jul 2024)
Cumulative views and downloads (calculated since 08 Jul 2024)

Viewed (geographical distribution)

Total article views: 868 (including HTML, PDF, and XML) Thereof 854 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Apr 2025
Download
Short summary
CO2 column-averaged dry-air mole fractions can be retrieved from space using spectrometers like OCO-2. However, nearby clouds induce spectral distortions that bias these retrievals beyond the accuracy needed for global CO2 source and sink assessments. This study employs a physics-based linearization approach to represent 3D cloud effects and introduces radiance-level mitigation techniques for actual OCO-2 data, enabling the operational implementation of these corrections.
Share