Articles | Volume 10, issue 11
Geosci. Model Dev., 10, 4129–4144, 2017
https://doi.org/10.5194/gmd-10-4129-2017
Geosci. Model Dev., 10, 4129–4144, 2017
https://doi.org/10.5194/gmd-10-4129-2017

Development and technical paper 15 Nov 2017

Development and technical paper | 15 Nov 2017

Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9

Jenny A. Fisher et al.

Data sets

TCCON data from Darwin, Australia, Release GGG2014R0 D. W. T. Griffith, N. Deutscher, V. A., Velazco, P. O. Wennberg, Y. Yavin, Y., G. K. Aleks, R. Washenfelder, R., G. C. Toon, J.-F. Blavier, C. Murphy, N. Jones, N., G. Kettlewell, B. Connor, R. Macatangay, C. Roehl, C., M. Ryczek, M., J. Glowacki, T. Culgan, and G. Bryant https://doi.org/10.14291/tccon.ggg2014.darwin01.R0/1149290

TCCON data from Wollongong, Australia, Release GGG2014R0 D. W. T. Griffith, V. A. Velazco, N. Deutscher, N., C. Murphy, N. Jones, S. Wilson, R. Macatangay, G. Kettlewell, R. R. Buchholz, and M. Riggenbach: https://doi.org/10.14291/tccon.ggg2014.wollongong01.R0/1149291

TCCON data from Lauder, New Zealand, 120HR, Release GGG2014R0 V. Sherlock, B. Connor, J. Robinson, H. Shiona, D. Smale, and D. Pollard https://doi.org/10.14291/tccon.ggg2014.lauder01.R0/1149293

TCCON data from Lauder, New Zealand, 125HR, Release GGG2014R0 V. Sherlock, B. Connor, J. Robinson, H. Shiona, D. Smale, and D. Pollard https://doi.org/10.14291/tccon.ggg2014.lauder02.R0/1149298

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Short summary
Carbon monoxide (CO) simulation in atmospheric chemistry models is used for source–receptor analysis, emission inversion, and interpretation of observations. We introduce a major update to CO simulation in the GEOS-Chem chemical transport model that removes fundamental inconsistencies relative to the standard model, resolving biases of more than 100 ppb and errors in vertical structure. We also add source tagging of secondary CO and demonstrate it provides added value in low-emission regions.