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

Journal metrics

  • IF value: 3.089 IF 3.089
  • IF 5-year<br/> value: 3.700 IF 5-year
    3.700
  • CiteScore<br/> value: 3.59 CiteScore
    3.59
  • SNIP value: 1.273 SNIP 1.273
  • SJR value: 2.026 SJR 2.026
  • IPP value: 3.082 IPP 3.082
  • h5-index value: 45 h5-index 45
Atmos. Meas. Tech., 8, 2961-2980, 2015
https://doi.org/10.5194/amt-8-2961-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
24 Jul 2015
Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm
J. Heymann et al.

Viewed

Total article views: 1,941 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
1,071 832 38 1,941 91 77 73

Views and downloads (calculated since 13 Feb 2015)

Cumulative views and downloads (calculated since 13 Feb 2015)

Cited

Saved (final revised paper)

Saved (discussion paper)

Discussed (final revised paper)

Discussed (discussion paper)

Latest update: 19 Jun 2018
Publications Copernicus
Download
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...
Share