Abstract
Abstract. We have examined the utility of retrieved column-averaged, dry-air mole fractions of CO2 (XCO2) from the Greenhouse Gases Observing Satellite (GOSAT) for quantifying monthly, regional flux estimates of CO2, using the GEOS-Chem four-dimensional variational (4D-Var) data assimilation system. We focused on assessing the potential impact of biases in the GOSAT CO2 data on the regional flux estimates. Using different screening and bias correction approaches, we selected three different subsets of the GOSAT XCO2 data for the 4D-Var inversion analyses, and found that the inferred global fluxes were consistent across the three XCO2 inversions. However, the GOSAT observational coverage was a challenge for the regional flux estimates. In the northern extratropics, the inversions were more sensitive to North American fluxes than to European and Asian fluxes due to the lack of observations over Eurasia in winter and over eastern and southern Asia in summer. The regional flux estimates were also sensitive to the treatment of the residual bias in the GOSAT XCO2 data. The largest differences obtained were for temperate North America and temperate South America, for which the largest spread between the inversions was 1.02 and 0.96 Pg C, respectively. In the case of temperate North America, one inversion suggested a strong source, whereas the second and third XCO2 inversions produced a weak and strong sink, respectively. Despite the discrepancies in the regional flux estimates between the three XCO2 inversions, the a posteriori CO2 distributions were in good agreement (with a mean difference between the three inversions of typically less than 0.5 ppm) with independent data from the Total Carbon Column Observing Network (TCCON), the surface flask network, and from the HIAPER Pole-to-Pole Observations (HIPPO) aircraft campaign. The discrepancy in the regional flux estimates from the different inversions, despite the agreement of the global flux estimates suggests the need for additional work to determine the minimum spatial scales at which we can reliably quantify the fluxes using GOSAT XCO2. The fact that the a posteriori CO2 from the different inversions were in good agreement with the independent data although the regional flux estimates differed significantly, suggests that innovative ways of exploiting existing data sets, and possibly additional observations, are needed to better evaluate the inferred regional flux estimates.
Highlights
The steady increase of atmospheric CO2 during the past 200 years is an important contributor to climate change
In terms of the land and ocean breakdown, we estimated that 2.16–2.77 Pg C was fixed by the terrestrial biosphere and that 1.49–1.63 Pg C was absorbed by the ocean in 2010, based on the three inversions
We found that the seasonal variations of the inferred global fluxes were consistent across the three XCO2 inversions
Summary
The steady increase of atmospheric CO2 during the past 200 years is an important contributor to climate change. The flask atmospheric CO2 concentration observations have been one of the most important data sets in quantifying and understanding the global carbon cycle These data have been intensively used in estimating global and regional carbon sinks and sources via various kinds of atmospheric inversions (e.g., Enting et al, 1995; Fan et al, 1998; Rayner et al, 1999; Gurney et al, 2002; Peylin et al, 2002; Rödenbeck et al, 2003; Law et al, 2003; Patra et al, 2005; Michalak et al, 2005; Baker et al, 2006b; Peters et al, 2007; Deng and Chen, 2011; Bruhwiler et al, 2011). Though there is general agreement in the estimates of hemispheric-scale fluxes, large uncertainties still remain in the estimates of the fluxes on smaller, regional scales, due partly to the limited spatial scale of the observations, errors in the atmospheric models (e.g., Stephens et al, 2007), and to the different configurations of the atmospheric inversions
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