 |
| Titel |
What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes – Part 1: Potential of the 2001 network |
| VerfasserIn |
C. Carouge, P. Bousquet, P. Peylin, P. J. Rayner, P. Ciais |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7316
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 10, no. 6 ; Nr. 10, no. 6 (2010-03-31), S.3107-3117 |
| Datensatznummer |
250008276
|
| Publikation (Nr.) |
 copernicus.org/acp-10-3107-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| An inverse model using atmospheric CO2 observations from a European
network of stations to reconstruct daily CO2 fluxes and their
uncertainties over Europe at 40 km resolution has been developed within a
Bayesian framework. In this first part, a pseudo-data experiment is
performed to assess the potential of continuous measurements over Europe
using a network of 10 stations of the AEROCARB project such as in 2001
(http://www.aerocarb.cnrs-gif.fr/). Under the assumptions of a small
observation noise and a perfect atmospheric transport model, the
reconstruction of daily CO2 fluxes and in particular of their synoptic
variability is best over Western Europe where the network is the densest. At
least a 10 days temporal and a 1000 km spatial averaging of the inverted
daily/40 km fluxes is required in order to obtain a good agreement between
the estimated and the "true" fluxes in terms of correlation and
variability. The performance of the inversion system rapidly degrades when
fluxes are sought for a smaller temporal or spatial averaging. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|