Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7775-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7775-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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: 8,140 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,148 917 75 8,140 226 36 46
  • HTML: 7,148
  • PDF: 917
  • XML: 75
  • Total: 8,140
  • Supplement: 226
  • BibTeX: 36
  • EndNote: 46
Views and downloads (calculated since 19 Aug 2021)
Cumulative views and downloads (calculated since 19 Aug 2021)

Viewed (geographical distribution)

Total article views: 8,140 (including HTML, PDF, and XML) Thereof 7,711 with geography defined and 429 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 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.
Read more