Emissions of CH4 and N2O over the United States and Canada based on a 
receptor-oriented modeling framework and COBRA-NA atmospheric observations

Kort, E. A.; Eluszkiewicz, J.; Stephens, B. B.; Miller, J. B.; Gerbig, C.; Nehrkorn, T.; Daube, B. C.; Kaplan, J. O.; Houweling, S.; Wofsy, S. C.

doi:10.1029/2008GL034031

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Emissions of CH₄ and N₂O over the United States and Canada based on a receptor-oriented modeling framework and COBRA-NA atmospheric observations

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Gerbig, C.
Airborne Trace Gas Measurements and Mesoscale Modelling, Dr. habil. C. Gerbig, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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http://dx.doi.org/10.1029/2008GL034031
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Zitation

Kort, E. A., Eluszkiewicz, J., Stephens, B. B., Miller, J. B., Gerbig, C., Nehrkorn, T., et al. (2008). Emissions of CH₄ and N₂O over the United States and Canada based on a receptor-oriented modeling framework and COBRA-NA atmospheric observations. Geophysical Research Letters, 35(18), 18808. doi:10.1029/2008GL034031.

Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000E-D6C2-7

Zusammenfassung

We present top-down emission constraints for two non-CO₂ greenhouse gases in large areas of the U. S. and southern Canada during early summer. Collocated airborne measurements of methane and nitrous oxide acquired during the COBRA-NA campaign in May-June 2003, analyzed using a receptor-oriented Lagrangian particle dispersion model, provide robust validation of independent bottom-up emission estimates from the EDGAR and GEIA inventories. We find that the EDGAR CH₄ emission rates are slightly low by a factor of 1.08 +/- 0.15 (2 sigma), while both EDGAR and GEIA N₂O emissions are significantly too low, by factors of 2.62 +/- 0.50 and 3.05 +/- 0.61, respectively, for this region. Potential footprint bias may expand the statistically retrieved uncertainties. Seasonality of agricultural N₂O emissions may help explain the discrepancy. Total anthropogenic U.S. and Canadian emissions would be 49 Tg CH₄ and 4.3 Tg N₂O annually, if these inventory scaling factors applied to all of North America. [References: 21]