Articles | Volume 8, issue 7
https://doi.org/10.5194/amt-8-2961-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-2961-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm
J. Heymann , M. Reuter, M. Hilker, M. Buchwitz, O. Schneising, H. Bovensmann, J. P. Burrows, A. Kuze, H. Suto, N. M. Deutscher, M. K. Dubey, D. W. T. Griffith, F. Hase, S. Kawakami, R. Kivi, I. Morino, C. Petri, C. Roehl, M. Schneider, V. Sherlock, R. Sussmann, V. A. Velazco, T. Warneke, and D. Wunch
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- Final revised paper (published on 24 Jul 2015)
- Supplement to the final revised paper
- Preprint (discussion started on 13 Feb 2015)
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC C263: 'Review Heymann et al.', Anonymous Referee #1, 08 Mar 2015
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- AC C1160: 'Answers to the comments of referee #1', Jens Heymann, 18 May 2015 Printer-friendly Version Printer-friendly Version
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RC C566: 'comment on Heymann et al.', Anonymous Referee #2, 06 Apr 2015
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- AC C1161: 'Answers to the comments of referee #2', Jens Heymann, 18 May 2015 Printer-friendly Version Printer-friendly Version
Short summary
Long-term data sets of global atmospheric carbon dioxide concentrations based on observations from different satellite instruments may suffer from inconsistencies originating from the use of different retrieval algorithms. This issue has been addressed by applying the Bremen Optimal Estimation DOAS retrieval algorithm to SCIAMACHY and TANSO-FTS observations. Detailed comparisons with TCCON and CarbonTracker show good consistency between the SCIAMACHY and TANSO-FTS data sets.
Long-term data sets of global atmospheric carbon dioxide concentrations based on observations...