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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 11, 1159-1179, 2018
https://doi.org/10.5194/amt-11-1159-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
28 Feb 2018
Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2
Edward Malina et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Referee Comment', Haili Hu, 07 Sep 2017 Printer-friendly Version 
AC1: 'Response to Review comment 1', Edward Malina, 20 Dec 2017 Printer-friendly Version Supplement 
 
RC2: 'referee report', Anonymous Referee #2, 10 Nov 2017 Printer-friendly Version 
AC2: 'Response to Review comment 2', Edward Malina, 20 Dec 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Edward Malina on behalf of the Authors (20 Dec 2017)  Author's response  Manuscript
ED: Publish subject to minor revisions (review by editor) (28 Dec 2017) by Piet Stammes  
AR by Edward Malina on behalf of the Authors (29 Dec 2017)  Author's response  Manuscript
ED: Publish as is (22 Jan 2018) by Piet Stammes
CC BY 4.0
Publications Copernicus
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Short summary
We present an assessment of the predicted information content and retrieval errors for 13CH4 retrieval from the planned GOSAT-2 satellite, assuming a wide range of land surface conditions. Retrieval of this quantity may allow for estimation of methane source types (e.g. biological or non-biological) based on the δ13C metric. We conclude that GOSAT-2 can be used for this purpose (to an accuracy of 10 ‰) assuming sufficient spatial (regional) and temporal (at least monthly) averaging.
We present an assessment of the predicted information content and retrieval errors for 13CH4...
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