Articles | Volume 8, issue 7
Research article
24 Jul 2015
Research article |  | 24 Jul 2015

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


Total article views: 5,866 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,772 1,933 161 5,866 334 185 181
  • HTML: 3,772
  • PDF: 1,933
  • XML: 161
  • Total: 5,866
  • Supplement: 334
  • BibTeX: 185
  • EndNote: 181
Views and downloads (calculated since 13 Feb 2015)
Cumulative views and downloads (calculated since 13 Feb 2015)


Saved (final revised paper)

Saved (preprint)

Latest update: 21 Jun 2024
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.