Articles | Volume 17, issue 7
https://doi.org/10.5194/acp-17-4781-2017
https://doi.org/10.5194/acp-17-4781-2017
Research article
 | 
12 Apr 2017
Research article |  | 12 Apr 2017

Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4 : XCO2 retrievals, 2010–2014

Liang Feng, Paul I. Palmer, Hartmut Bösch, Robert J. Parker, Alex J. Webb, Caio S. C. Correia, Nicholas M. Deutscher, Lucas G. Domingues, Dietrich G. Feist, Luciana V. Gatti, Emanuel Gloor, Frank Hase, Rigel Kivi, Yi Liu, John B. Miller, Isamu Morino, Ralf Sussmann, Kimberly Strong, Osamu Uchino, Jing Wang, and Andreas Zahn

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Liang Feng on behalf of the Authors (03 Feb 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Feb 2017) by Rolf Müller
RR by Anonymous Referee #1 (26 Feb 2017)
RR by Anonymous Referee #2 (28 Feb 2017)
ED: Publish subject to technical corrections (28 Feb 2017) by Rolf Müller
AR by Liang Feng on behalf of the Authors (08 Mar 2017)  Author's response   Manuscript 
Download
Short summary
We use the GEOS-Chem global 3-D model of atmospheric chemistry and transport and an ensemble Kalman filter to simultaneously infer regional fluxes of methane (CH4) and carbon dioxide (CO2) directly from GOSAT retrievals of XCH4:XCO2, using sparse ground-based CH4 and CO2 mole fraction data to anchor the ratio. Our results show that assimilation of GOSAT data significantly reduced the posterior uncertainty and changed the a priori spatial distribution of CH4 emissions.
Altmetrics
Final-revised paper
Preprint