2017
DOI: 10.5194/acp-2017-813
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Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite

Abstract: Abstract.NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite launched in summer of 2014. Its observations could allow scientists to constrain CO 2 fluxes across regions or continents that were previously difficult to monitor. This study explores an initial step toward that goal; we evaluate the extent to which current OCO-2 observations can detect patterns in biospheric CO 2 fluxes and constrain monthly CO 2 budgets. Our goal is to guide top-down, inverse modeling studies and identify areas 5 for future imp… Show more

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Cited by 2 publications
(2 citation statements)
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References 32 publications
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“…The good agreement between the inversions and TCCON is reassuring because both inversions assimilate measurements that are independent of TCCON. These results show good agreement despite uneven observational coverage, errors in model transport, and biases in assimilated observations, all of which can strongly impact inversion analyses (Baker et al, ; Byrne et al, ; Miller et al, ). Of the TBMs, SiB3 and CASA give the best agreement with TCCON, with RMS differences of 0.50 and 0.58 ppm, respectively.…”
Section: Resultsmentioning
confidence: 65%
“…The good agreement between the inversions and TCCON is reassuring because both inversions assimilate measurements that are independent of TCCON. These results show good agreement despite uneven observational coverage, errors in model transport, and biases in assimilated observations, all of which can strongly impact inversion analyses (Baker et al, ; Byrne et al, ; Miller et al, ). Of the TBMs, SiB3 and CASA give the best agreement with TCCON, with RMS differences of 0.50 and 0.58 ppm, respectively.…”
Section: Resultsmentioning
confidence: 65%
“…11a and b), except that the ensemble spread is larger with v9 than with v7. The bias correction in v9 allowed us to have more data than v7 over the Amazon in order to pass the quality flag criteria (Miller et al, 2018;O'Dell et al, 2018). In addition, we can observe a different amplitude in the seasonality between IS and OCO-2 for this region.…”
Section: Tropical Regionmentioning
confidence: 95%