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Volume 17, issue 1 | Copyright

Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...

Atmos. Chem. Phys., 17, 235-256, 2017
https://doi.org/10.5194/acp-17-235-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 04 Jan 2017

Review article | 04 Jan 2017

Global inverse modeling of CH4 sources and sinks: an overview of methods

Sander Houweling et al.
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Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., Guerlet, S., Parker, R., Boesch, H., Frankenberg, C., Scheepmaker, R. A., Dlugokencky, E., Sweeney, C., Wofsy, S. C., and Kort, E. A.: Inverse modelling of CH4 emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY, Atmos. Chem. Phys., 15, 113–133, https://doi.org/10.5194/acp–15–113–2015, 2015.
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Baker, D. F., Doney, S. D., and Schimel, D. S.: Variational data assimilation for atmospheric CO2, Tellus B, 58, 359–365, 2006.
Baldocchi, D., Falge, E., Gu, L. H., Olson, R., Hollinger, D. et al.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, Bull. Am. Met. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477, 2001.
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The aim of this paper is to present an overview of inverse modeling methods, developed over the years, for estimating the global sources and sinks of the greenhouse gas methane from atmospheric measurements. It provides insight into how techniques and estimates have evolved over time, what the remaining shortcomings are, new developments, and promising future directions.
The aim of this paper is to present an overview of inverse modeling methods, developed over the...
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