Articles | Volume 10, issue 11
https://doi.org/10.5194/gmd-10-4129-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4129-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
School of Earth and Environmental Sciences, University of Wollongong, Wollongong, NSW, Australia
Lee T. Murray
Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY, USA
Dylan B. A. Jones
Department of Physics, University of Toronto, Toronto, ON, Canada
Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, USA
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, NSW, Australia
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Latest update: 14 Dec 2024
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.
Carbon monoxide (CO) simulation in atmospheric chemistry models is used for source–receptor...
