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: 7,363 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,472 830 61 7,363 201 22 30
  • HTML: 6,472
  • PDF: 830
  • XML: 61
  • Total: 7,363
  • Supplement: 201
  • BibTeX: 22
  • EndNote: 30
Views and downloads (calculated since 19 Aug 2021)
Cumulative views and downloads (calculated since 19 Aug 2021)

Viewed (geographical distribution)

Total article views: 7,363 (including HTML, PDF, and XML) Thereof 6,911 with geography defined and 452 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 2024
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.