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.
Research article
| 
24 Jul 2015
Research article |
| 24 Jul 2015
Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm
J. Heymann
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
M. Reuter
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
M. Hilker
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
M. Buchwitz
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
O. Schneising
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
H. Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
J. P. Burrows
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
H. Suto
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
N. M. Deutscher
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
M. K. Dubey
Los Alamos National Laboratory, Los Alamos, USA
D. W. T. Griffith
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
F. Hase
IMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
S. Kawakami
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
Finnish Meteorological Institute, Sodankylä, Finland
I. Morino
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
C. Roehl
California Institute of Technology, Pasadena, USA
M. Schneider
IMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
V. Sherlock
National Institute of Water and Atmospheric Research, Wellington, New Zealand
now at: Laboratoire de Météorologie Dynamique, Palaiseau, France
R. Sussmann
IMK-IFU, Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
V. A. Velazco
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
T. Warneke
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
California Institute of Technology, Pasadena, USA
Download
- 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
- Printer-friendly version
- Supplement
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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
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AC C1160: 'Answers to the comments of referee #1', Jens Heymann, 18 May 2015
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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
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AC C1161: 'Answers to the comments of referee #2', Jens Heymann, 18 May 2015
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...
