2002
DOI: 10.1038/415626a
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Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models

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Cited by 1,202 publications
(1,456 citation statements)
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References 25 publications
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“…On yearly timescales, not all CO 2 emitted to the atmosphere by fossil fuel burning remains airborne: approximately 40-50% is taken up by natural oceanic or terrestrial sinks (Le Quéré et al, 2009). Inference of the strength and location of these natural sinks is the focus of many inverse studies (Gurney et al, 2002(Gurney et al, , 2004.…”
Section: Sources Of Co 2 Variationsmentioning
confidence: 99%
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“…On yearly timescales, not all CO 2 emitted to the atmosphere by fossil fuel burning remains airborne: approximately 40-50% is taken up by natural oceanic or terrestrial sinks (Le Quéré et al, 2009). Inference of the strength and location of these natural sinks is the focus of many inverse studies (Gurney et al, 2002(Gurney et al, , 2004.…”
Section: Sources Of Co 2 Variationsmentioning
confidence: 99%
“…Inverse modeling represents one approach for estimating regional and global carbon fluxes from gradients in the observed concentration (or mixing ratio) of CO 2 , [CO 2 ] (Gurney et al, 2002(Gurney et al, , 2004.…”
Section: Introductionmentioning
confidence: 99%
“…Fossil fuel CO 2 is the largest net annual input of CO 2 to the atmosphere, and these emissions are also a major component of the European carbon budget (Denning et al 1995;Gurney et al 2002). Therefore, we can assess the role of the continental biosphere as a net source or sink of carbon only if we are able to accurately separate fossil fuel CO 2 emissions from total CO 2 flux.…”
Section: Introductionmentioning
confidence: 99%
“…A powerful tool to improve our knowledge of processes and rates of greenhouse gas (GHG) exchange between atmosphere and biosphere is inverse modelling [2]. Hereby, estimates of fluxes in a chemical transport model are adjusted to provide an improved fit to observations by minimizing the errors in the estimated emissions.…”
Section: Introductionmentioning
confidence: 99%