Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 4781-4797, 2017
https://doi.org/10.5194/acp-17-4781-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
12 Apr 2017
Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4 : XCO2 retrievals, 2010–2014
Liang Feng et al.
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Source of the HIPPO data that you used for your paper?', Leslie Hook, 15 Nov 2016 Printer-friendly Version 
AC1: 'Re: 'Source of the HIPPO data that you used for your paper?',', Liang Feng, 20 Dec 2016 Printer-friendly Version 
 
RC1: 'Comments on 'Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010-2014'', Anonymous Referee #1, 21 Nov 2016 Printer-friendly Version 
 
RC2: 'Referee comment on a paper by L Feng, 2016', Anonymous Referee #2, 21 Nov 2016 Printer-friendly Version 
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
CC BY 4.0
Publications Copernicus
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.
We use the GEOS-Chem global 3-D model of atmospheric chemistry and transport and an ensemble...
Share