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Article Dans Une Revue Atmospheric Chemistry and Physics Année : 2010

What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes – Part 1: Potential of the 2001 network

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An inverse model using atmospheric CO 2 observations from a European network of stations to reconstruct daily CO 2 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 CO 2 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.
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hal-02927130 , version 1 (04-09-2020)

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C. Carouge, Philippe Bousquet, P. Peylin, P. Rayner, Philippe Ciais. What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes – Part 1: Potential of the 2001 network. Atmospheric Chemistry and Physics, 2010, 10 (6), pp.3107-3117. ⟨10.5194/acp-10-3107-2010⟩. ⟨hal-02927130⟩
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