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Title: A joint effort to deliver satellite retrieved atmospheric CO[subscript 2] concentrations for surface flux inversions: the ensemble median algorithm EMMA
Authors: 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.
Yoshida, Y.
First Published: 15-Feb-2013
Publisher: Copernicus GmbH (Copernicus Publications) on behalf of the European Geosciences Union (EGU)
Citation: Atmospheric Chemistry and Physics, 2013, 13 (4), 1771-1780
Abstract: We analyze an ensemble of seven XCO[subscript 2] retrieval algorithms for SCIAMACHY (scanning imaging absorption spectrometer of atmospheric chartography) and GOSAT (greenhouse gases observing satellite). The ensemble spread can be interpreted as regional uncertainty and can help to identify locations for new TCCON (total carbon column observing network) validation sites. Additionally, we introduce the ensemble median algorithm EMMA combining individual soundings of the seven algorithms into one new data set. 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 0.3–0.9 ppm) and seasonal amplitudes (by 1.5–2.0 ppm).
DOI Link: 10.5194/acp-13-1771-2013
ISSN: 1680-7316
eISSN: 1680-7324
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: © Author(s) 2013. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Physics and Astronomy

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