Atmos. Chem. Phys. Discuss., 12, 23195-23217, 2012
www.atmos-chem-phys-discuss.net/12/23195/2012/
doi:10.5194/acpd-12-23195-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA
M. Reuter1, H. Bösch2, H. Bovensmann1, A. Bril3, M. Buchwitz1, A. Butz4, J. P. Burrows1, C. W. O'Dell5, S. Guerlet6, O. Hasekamp6, J. Heymann1, N. Kikuchi3, S. Oshchepkov3, R. Parker2, S. Pfeifer7, O. Schneising1, T. Yokota3, and Y. Yoshida3
1Institute of Environmental Physics, University of Bremen, Germany
2University of Leicester, Department of Physics and Astronomy, Leicester, UK
3National Institute for Environmental Studies, Tsukuba, Japan
4IMK-ASF, Karlsruhe Institute of Technology, Karlsruhe, Germany
5Colorado State University, Fort Collins, CO, USA
6Netherlands Institute for Space Research, Utrecht, The Netherlands
7Climate Service Center, Helmholtz Zentrum Geesthacht, Hamburg, Germany

Abstract. We analyze an ensemble of seven XCO2 retrieval algorithms for SCIAMACHY and GOSAT. The ensemble spread can be interpreted as regional uncertainty and can help to identify locations for new TCCON validation sites. Additionally, we introduce the ensemble median algorithm EMMA combining individual soundings of the seven algorithms into one new dataset. The ensemble takes advantage of the algorithms' independent developments. We find ensemble spreads being often <1 ppm but rising up to 2 ppm especially in the tropics and East Asia. On the basis of gridded monthly averages, we compare EMMA and all individual algorithms with TCCON and CarbonTracker model results (potential outliers, north/south gradient, seasonal (peak-to-peak) amplitude, standard deviation of the difference). Our findings show that EMMA is a promising candidate for inverse modeling studies. Compared to CarbonTracker, the satellite retrievals find consistently larger north/south gradients (by 0.3 ppm–0.9 ppm) and seasonal amplitudes (by 1.5 ppm–2.0 ppm).

Citation: Reuter, M., Bösch, H., Bovensmann, H., Bril, A., Buchwitz, M., Butz, A., Burrows, J. P., O'Dell, C. W., Guerlet, S., Hasekamp, O., Heymann, J., Kikuchi, N., Oshchepkov, S., Parker, R., Pfeifer, S., Schneising, O., Yokota, T., and Yoshida, Y.: A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA, Atmos. Chem. Phys. Discuss., 12, 23195-23217, doi:10.5194/acpd-12-23195-2012, 2012.
 
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