Articles | Volume 16, issue 4
Atmos. Chem. Phys., 16, 1907–1918, 2016
https://doi.org/10.5194/acp-16-1907-2016
Atmos. Chem. Phys., 16, 1907–1918, 2016
https://doi.org/10.5194/acp-16-1907-2016

Research article 19 Feb 2016

Research article | 19 Feb 2016

Sensitivity of simulated CO2 concentration to sub-annual variations in fossil fuel CO2 emissions

Xia Zhang et al.

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Cited articles

Andres, R. J., Gregg, J. S., Losey, L., Marland, G., and Boden, T. A.: Monthly , global emissions of carbon dioxide from fossil fuel consumption, Tellus, 63B, 309–327, 2011.
Asefi-Najafabady, S., Rayner, S. P. J., Gurney, K. R., McRobert, K. R. A., Song, Y., Coltin, K., Huang, J., Elvidge, C., and Baugh, K.: A multiyear, global gridded fossil fuel CO2 emissions data product: Evaluation and analysis of results, J. Geophys. Res.-Atmos., 119, 10213–10231, https://doi.org/10.1002/2013JD021296, 2014.
Chan, D., Ishizawa, M., Higuchi, K., Maksyutov, S., and Chen J.:Seasonal CO2 rectifier effect and large-scale extratropical atmospheric transport, J. Geophys. Res.-Atmos., 113, D17309, https://doi.org/10.1029/2007JD009443, 2008.
Chen, B. and Chen, J. M.: A vertical diffusion scheme to estimate the atmospheric rectifier effect, J. Geophys. Res., 109, D04306, https://doi.org/10.1029/2003JD003925, 2004.
Ciais, P., J., Paris, D., Marland, G., Peylin, P., Piao, S. L. , Levin, I., Pregger, T., Scholz, Y., Friedrich, R., Rivier, L., Houwelling, S., Schulze, E. D., and members of the CARBOEUROPE Synthesis Team (1): The European carbon balance revisited. Part 1: fossil fuel emissions, Glob. Change Biol., 16, 1395–1408, https://doi.org/10.1111/j.1365-2486.2009.02098.x, 2009.
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This study presents a complete exploration of the space/time effect of time variations (diurnal, weekly, monthly) in fossil fuel emission on CO2 concentration. The paper identified rectifier effect at local to regional scale that is expected from fossil fuel emission and compared to biospheric rectification, and then extends the subject to column measurement. This study demonstrates the importance of considering sub-annual fossil fuel emissions on model simulation and related studies.
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