Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7775–7793, 2021
https://doi.org/10.5194/gmd-14-7775-2021
Geosci. Model Dev., 14, 7775–7793, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-238', Anonymous Referee #1, 04 Oct 2021
  • RC2: 'Comment on gmd-2021-238', Anonymous Referee #2, 04 Oct 2021
  • AC1: 'Comment on gmd-2021-238', Xueying Yu, 05 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xueying Yu on behalf of the Authors (05 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (18 Nov 2021) by Andrea Stenke
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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.