Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3179-2015
https://doi.org/10.5194/gmd-8-3179-2015
Methods for assessment of models
 | 
08 Oct 2015
Methods for assessment of models |  | 08 Oct 2015

Simulation of atmospheric N2O with GEOS-Chem and its adjoint: evaluation of observational constraints

K. C. Wells, D. B. Millet, N. Bousserez, D. K. Henze, S. Chaliyakunnel, T. J. Griffis, Y. Luan, E. J. Dlugokencky, R. G. Prinn, S. O'Doherty, R. F. Weiss, G. S. Dutton, J. W. Elkins, P. B. Krummel, R. Langenfelds, L. P. Steele, E. A. Kort, S. C. Wofsy, and T. Umezawa

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Cited articles

Assonov, S. S., Brenninkmeijer, C. A. M., Schuck, T., and Umezawa, T.: N2O as a tracer of mixing stratospheric and tropospheric air based on CARIBIC data with applications for CO2, Atmos. Environ., 79, 769–779, https://doi.org/10.1016/j.atmosenv.2013.07.035, 2013.
Bousserez, N., Henze, D. K., Perkins, A., Bowman, K. W., Lee, M., Liu, J., Deng, F., and Jones, D. B. A.: Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model, Q. J. Roy. Meteor. Soc., 141, 1906–1921, https://doi.org/10.1002/qj.2495, 2015.
Bouwman, A. F.: Environmental science – Nitrogen oxides and tropical agriculture, Nature, 392, 866–867, https://doi.org/10.1038/31809, 1998.
Bouwman, A. F., Beusen, A. H. W., Griffioen, J., Van Groenigen, J. W., Hefting, M. M., Oenema, O., Van Puijenbroek, P. J. T. M., Seitzinger, S., Slomp, C. P., and Stehfest, E.: Global trends and uncertainties in terrestrial denitrification and N2O emissions, Philos. T. R Soc. B, 368, 20130112, https://doi.org/10.1098/rstb.2013.0112, 2013.
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Short summary
This paper introduces a new inversion framework for N2O using GEOS-Chem and its adjoint, which we employed in a series of observing system simulation experiments to evaluate the source and sink constraints provided by surface and aircraft-based N2O measurements. We also applied a new approach for estimating a posteriori uncertainty for high-dimensional inversions, and used it to quantify the spatial and temporal resolution of N2O emission constraints achieved with the current observing network.
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