2013
DOI: 10.5194/acp-13-9039-2013
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Regional inversion of CO<sub>2</sub> ecosystem fluxes from atmospheric measurements: reliability of the uncertainty estimates

Abstract: Abstract. The Bayesian framework of CO2 flux inversions permits estimates of the retrieved flux uncertainties. Here, the reliability of these theoretical estimates is studied through a comparison against the misfits between the inverted fluxes and independent measurements of the CO2 Net Ecosystem Exchange (NEE) made by the eddy covariance technique at local (few hectares) scale. Regional inversions at 0.5° resolution are applied for the western European domain where ~ 50 eddy covariance sites are operated. The… Show more

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Cited by 62 publications
(82 citation statements)
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“…For instance, atmospheric inverse modeling enables the estimation of surface-atmosphere fluxes from measured atmospheric mixing ratios (Fan et al, 1998;Gurney et al, 2002;Röden-beck et al, 2003;Broquet et al, 2013). However, traditionally, atmospheric measurements have been conducted in remote areas (Pales and Keeling, 1965) to reduce the influence of nearby sources.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, atmospheric inverse modeling enables the estimation of surface-atmosphere fluxes from measured atmospheric mixing ratios (Fan et al, 1998;Gurney et al, 2002;Röden-beck et al, 2003;Broquet et al, 2013). However, traditionally, atmospheric measurements have been conducted in remote areas (Pales and Keeling, 1965) to reduce the influence of nearby sources.…”
Section: Introductionmentioning
confidence: 99%
“…This approach can also be used to assess how model-data-mismatch errors vary seasonally (e.g., Gourdji et al, 2012;Kim et al, 2011). Additionally, the very high resolution of some regional inversions and the availability of plot-scale flux measurements make it possible to validate the posterior uncertainty of fluxes directly in some cases (e.g., Broquet et al, 2013).…”
Section: A M Michalak Et Al: Diagnostic Methods For Atmospheric Inmentioning
confidence: 99%
“…Such experiments can be used to estimate the uncertainty reduction (see Sect. 3.2) that could potentially be achieved by assimilating more observations over or downwind from poorly constrained regions as well as the effects of a more extensive observational network on the estimated spatial and temporal variability of fluxes (e.g., Butler et al, 2010;Saeki et al, 2013b;Kadygrov et al, 2015;Jiang et al, 2014;Peters et al, 2010). They can also be used to determine the value of episodic versus continuous observations (e.g., Peters et al, 2010).…”
Section: Atmospheric Observationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Rödenbeck et al, 2003;Peters et al, 2007;Chevallier et al, 2010;Peylin et al, 2013), while regional inversion studies with high spatial resolution for carbon fluxes are only gaining ground more recently (e.g. Göckede et al, 2010;Schuh et al, 2010;Tolk et al, 2011;20 Lauvaux et al, 2012;Gourdji et al, 2012;Broquet et al, 2013;Shiha et al, 2014;Alden et al, 2016;Kountouris et al, 2016;Feng et al, 2016). Such regional inversion studies contribute to a better understanding of the mechanism through which carbon fluxes react to environmental variations at a fine scale.…”
Section: Introductionmentioning
confidence: 99%