Academic Journals Database
Disseminating quality controlled scientific knowledge

A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA

Author(s): 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

Journal: Atmospheric Chemistry and Physics Discussions
ISSN 1680-7367

Volume: 12;
Issue: 9;
Start page: 23195;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

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

Tango Rapperswil
Tango Rapperswil

     Affiliate Program