2010
DOI: 10.5194/acp-10-3119-2010
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What can we learn from European continuous atmospheric CO<sub>2</sub> measurements to quantify regional fluxes – Part 2: Sensitivity of flux accuracy to inverse setup

Abstract: Abstract. 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 50 km resolution has been developed within a Bayesian framework. We use the pseudo-data approach in which we try to recover known fluxes using a range of perturbations to the input. In this study, the focus is put on the sensitivity of flux accuracy to the inverse setup, varying the prior flux errors, the pseudo-data errors and the network of… Show more

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Cited by 43 publications
(27 citation statements)
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References 24 publications
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“…Similar to previous studies (Carouge et al, 2010;Schuh et al, 2009;Gerbig et al, 2006;Ahmadov et al, 2009), we find that significant aggregation of results is needed to come to robust numbers. The aggregation scale is on the order of 100 × 100 km as in previous work.…”
Section: Discussionsupporting
confidence: 66%
“…Similar to previous studies (Carouge et al, 2010;Schuh et al, 2009;Gerbig et al, 2006;Ahmadov et al, 2009), we find that significant aggregation of results is needed to come to robust numbers. The aggregation scale is on the order of 100 × 100 km as in previous work.…”
Section: Discussionsupporting
confidence: 66%
“…However, the present uncertainty in the estimates of the sinks is too large to provide independent constraints on global emissions, and uncertainty concerning atmospheric transport compounds this problem at finer regional-scale spatial resolution [9]. At the same time, uncertainty in CO 2 emissions is too large to enable early detection of unexpected feedbacks in the CO 2 sinks, if these were to occur.…”
Section: Introductionmentioning
confidence: 99%
“…These methods have been successfully used in terrestrial systems including the City of Cape Town 11,12 , and regional and global CO 2 emissions inventories 29,30 . This method relies on high accuracy measurements of atmospheric CO 2 (or other) concentrations to constrain a priori estimates of CO 2 fluxes derived from activity and emission factor estimates.…”
Section: Marine Observationsmentioning
confidence: 99%