Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7775-2021
https://doi.org/10.5194/gmd-14-7775-2021
Model experiment description paper
 | 
23 Dec 2021
Model experiment description paper |  | 23 Dec 2021

How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35)

Xueying Yu, Dylan B. Millet, and Daven K. Henze

Viewed

Total article views: 9,171 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,889 1,194 88 9,171 374 68 141
  • HTML: 7,889
  • PDF: 1,194
  • XML: 88
  • Total: 9,171
  • Supplement: 374
  • BibTeX: 68
  • EndNote: 141
Views and downloads (calculated since 19 Aug 2021)
Cumulative views and downloads (calculated since 19 Aug 2021)

Viewed (geographical distribution)

Total article views: 9,171 (including HTML, PDF, and XML) Thereof 8,711 with geography defined and 460 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Jan 2026
Download
Short summary
We conduct observing system simulation experiments to test how well inverse analyses of high-resolution satellite data from sensors such as TROPOMI can quantify methane emissions. Inversions can improve monthly flux estimates at 25 km even with a spatially biased prior or model transport errors, but results are strongly degraded when both are present. We further evaluate a set of alternate formalisms to overcome limitations of the widely used scale factor approach that arise for missing sources.
Share