Articles | Volume 15, issue 20
https://doi.org/10.5194/acp-15-11789-2015
https://doi.org/10.5194/acp-15-11789-2015
Research article
 | 
23 Oct 2015
Research article |  | 23 Oct 2015

Implications of carbon monoxide bias for methane lifetime and atmospheric composition in chemistry climate models

S. A. Strode, B. N. Duncan, E. A. Yegorova, J. Kouatchou, J. R. Ziemke, and A. R. Douglass

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Cited articles

Arellano, A. F. and Hess, P. G.: Sensitivity of top-down estimates of CO sources to GCTM transport, Geophys. Res. Lett., 33, L21807, https://doi.org/10.1029/2006gl027371, 2006.
Berntsen, T. K., Fuglestvedt, J. S., Joshi, M. M., Shine, K. P., Stuber, N., Ponater, M., Sausen, R., Hauglustaine, D. A., and Li, L.: Response of climate to regional emissions of ozone precursors: sensitivities and warming potentials, Tellus B, 57, 283–304, https://doi.org/10.1111/j.1600-0889.2005.00152.x, 2005.
Bian, H. S., Chin, M. A., Kawa, S. R., Yu, H. B., Diehl, T., and Kucsera, T.: Multiscale carbon monoxide and aerosol correlations from satellite measurements and the GOCART model: Implication for emissions and atmospheric evolution, J. Geophys. Res.-Atmos., 115, D07302, https://doi.org/10.1029/2009jd012781, 2010.
Bloom, S. C., Takacs, L. L., da Silva, A. M., and Ledvina, D.: Data Assimilation Using Incremental Analysis Updates, Mon. Weather Rev., 124, 1256–1271, https://doi.org/10.1175/1520-0493(1996)124<1256:DAUIAU>2.0.CO;2, 1996.
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A low bias in carbon monoxide (CO) at northern latitudes is a common feature of chemistry climate models. We find that increasing Northern Hemisphere (NH) CO emissions or reducing NH OH concentrations improves the agreement with CO surface observations, but reducing NH OH leads to a better comparison with MOPITT. Removing model biases in ozone and water vapor increases the simulated methane lifetime, but it does not give the 20% reduction in NH OH suggested by our analysis of the CO bias.
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