 |
| Titel |
A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA |
| VerfasserIn |
M. Reuter, H. Bösch, H. Bovensmann, A. Bril, M. Buchwitz, A. Butz, J. P. Burrows, C. W. O'Dell, S. Guerlet, O. Hasekamp, J. Heymann, N. Kikuchi, S. Oshchepkov, R. Parker, S. Pfeifer, O. Schneising, T. Yokota, Y. Yoshida |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7316
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 4 ; Nr. 13, no. 4 (2013-02-15), S.1771-1780 |
| Datensatznummer |
250017659
|
| Publikation (Nr.) |
 copernicus.org/acp-13-1771-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| We analyze an ensemble of seven XCO2 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). |
| |
|
| Teil von |
|
|
|
|
|
|
|
|