Articles | Volume 16, issue 11
https://doi.org/10.5194/acp-16-7285-2016
https://doi.org/10.5194/acp-16-7285-2016
Research article
 | 
10 Jun 2016
Research article |  | 10 Jun 2016

Interpreting space-based trends in carbon monoxide with multiple models

Sarah A. Strode, Helen M. Worden, Megan Damon, Anne R. Douglass, Bryan N. Duncan, Louisa K. Emmons, Jean-Francois Lamarque, Michael Manyin, Luke D. Oman, Jose M. Rodriguez, Susan E. Strahan, and Simone Tilmes

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Cited articles

Angelbratt, J., Mellqvist, J., Simpson, D., Jonson, J. E., Blumenstock, T., Borsdorff, T., Duchatelet, P., Forster, F., Hase, F., Mahieu, E., De Mazière, M., Notholt, J., Petersen, A. K., Raffalski, U., Servais, C., Sussmann, R., Warneke, T., and Vigouroux, C.: Carbon monoxide (CO) and ethane (C2H6) trends from ground-based solar FTIR measurements at six European stations, comparison and sensitivity analysis with the EMEP model, Atmos. Chem. Phys., 11, 9253–9269, https://doi.org/10.5194/acp-11-9253-2011, 2011.
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Deeter, M. N.: MOPITT (Measurements of Pollution in the Troposphere) Validated Version 4 Product User's Guide, National Center for Atmospheric Research, available at: http://web3.acd.ucar.edu/mopitt/v4_users_guide_val.pdf (last access: 27 December 2013), 2009.
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Short summary
We use global models to interpret trends in MOPITT observations of CO. Simulations with time-dependent emissions reproduce the observed trends over the eastern USA and Europe, suggesting that the emissions are reasonable for these regions. The simulations produce a positive trend over eastern China, contrary to the observed negative trend. This may indicate that the assumed emission trend over China is too positive. However, large variability in the overhead ozone column also contributes.
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