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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.


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.

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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.   Bibtex   EndNote   Reference Manager    XML