Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9545-2021
https://doi.org/10.5194/acp-21-9545-2021
Research article
 | 
24 Jun 2021
Research article |  | 24 Jun 2021

Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation

Ilya Stanevich, Dylan B. A. Jones, Kimberly Strong, Martin Keller, Daven K. Henze, Robert J. Parker, Hartmut Boesch, Debra Wunch, Justus Notholt, Christof Petri, Thorsten Warneke, Ralf Sussmann, Matthias Schneider, Frank Hase, Rigel Kivi, Nicholas M. Deutscher, Voltaire A. Velazco, Kaley A. Walker, and Feng Deng

Viewed

Total article views: 3,643 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,812 766 65 3,643 64 61
  • HTML: 2,812
  • PDF: 766
  • XML: 65
  • Total: 3,643
  • BibTeX: 64
  • EndNote: 61
Views and downloads (calculated since 15 Nov 2019)
Cumulative views and downloads (calculated since 15 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,643 (including HTML, PDF, and XML) Thereof 3,671 with geography defined and -28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
We explore the utility of a weak-constraint (WC) four-dimensional variational (4D-Var) data assimilation scheme for mitigating systematic errors in methane simulation in the GEOS-Chem model. We use data from the Greenhouse Gases Observing Satellite (GOSAT) and show that, compared to the traditional 4D-Var approach, the WC scheme improves the agreement between the model and independent observations. We find that the WC corrections to the model provide insight into the source of the errors.
Altmetrics
Final-revised paper
Preprint