Atmos. Chem. Phys. Discuss., 8, 18591-18620, 2008
www.atmos-chem-phys-discuss.net/8/18591/2008/
doi:10.5194/acpd-8-18591-2008
© Author(s) 2008. 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.
What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes – Part 1: Potential of the network
C. Carouge1, P. Bousquet1,2, P. Peylin1,3, P. J. Rayner1, and P. Ciais1
1Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Bât. 701, Orme des Merisiers, 91191 Gif-sur-Yvette, France
2Université de Versailles Saint-Quentin en Yvelines, Versailles, France
3Laboratoire de Biogéochimie et Ecologie des Milieux Continentaux, CNRS-UPMC-INRA, Paris, France

Abstract. An inverse model using atmospheric CO2 observations from a European network of stations to reconstruct daily CO2 fluxes and their uncertainties over Europe at 50 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 such as in 2001. 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/50 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 performances of the inversion system rapidly degrade when fluxes are sought for a smaller temporal or spatial averaging.

Citation: Carouge, C., Bousquet, P., Peylin, P., Rayner, P. J., and Ciais, P.: What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes – Part 1: Potential of the network, Atmos. Chem. Phys. Discuss., 8, 18591-18620, doi:10.5194/acpd-8-18591-2008, 2008.
 
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