Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-649-2022
https://doi.org/10.5194/gmd-15-649-2022
Development and technical paper
 | 
26 Jan 2022
Development and technical paper |  | 26 Jan 2022

A new exponentially decaying error correlation model for assimilating OCO-2 column-average CO2 data using a length scale computed from airborne lidar measurements

David F. Baker, Emily Bell, Kenneth J. Davis, Joel F. Campbell, Bing Lin, and Jeremy Dobler

Viewed

Total article views: 2,744 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,745 911 88 2,744 68 77
  • HTML: 1,745
  • PDF: 911
  • XML: 88
  • Total: 2,744
  • BibTeX: 68
  • EndNote: 77
Views and downloads (calculated since 18 Feb 2021)
Cumulative views and downloads (calculated since 18 Feb 2021)

Viewed (geographical distribution)

Total article views: 2,744 (including HTML, PDF, and XML) Thereof 2,548 with geography defined and 196 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jul 2025
Download
Short summary
The OCO-2 satellite measures many closely spaced column-averaged CO2 values around its orbit. To give these data proper weight in flux inversions, their error correlations must be accounted for. Here we lay out a 1-D error model with correlations that die out exponentially along-track to do so. A correlation length scale of ∼20 km is derived from column CO2 measurements from an airborne lidar flown underneath OCO-2 for use in this model. The model's performance is compared to previous ones.
Share