Using Transport Diagnostics to Understand Chemistry Climate Model Ozone Simulations

• Main Authors: Pitari, G., Hardiman, S. C., Morgenstern, O., Dhomse, S., Cugnet, D., Kinnison, D. E., Stolarski, R. S., Douglass, A. R., Lamarque, J.-F., Gettleman, A., Nakamura, T., Pyle, J. A., Olivie, D., Chipperfield, M. P., Braesicke, P., Plummer, D. A., Bekki, S., Pawson, S., Michou, M., Mancini, E., Akiyoshi, H., Butchart, N., Frith, S. M., Strahan, S. E., Marchand, M.
• Language: unknown
• Published: 2010
• Subjects: Environment Pollution; Antarctic; Antarc*
• Online Access: http://hdl.handle.net/2060/20110007808

We demonstrate how observations of N2O and mean age in the tropical and midlatitude lower stratosphere (LS) can be used to identify realistic transport in models. The results are applied to 15 Chemistry Climate Models (CCMs) participating in the 2010 WMO assessment. Comparison of the observed and simulated N2O/mean age relationship identifies models with fast or slow circulations and reveals details of model ascent and tropical isolation. The use of this process-oriented N2O/mean age diagnostic identifies models with compensating transport deficiencies that produce fortuitous agreement with mean age. We compare the diagnosed model transport behavior with a model's ability to produce realistic LS O3 profiles in the tropics and midlatitudes. Models with the greatest tropical transport problems show the poorest agreement with observations. Models with the most realistic LS transport agree more closely with LS observations and each other. We incorporate the results of the chemistry evaluations in the SPARC CCMVal Report (2010) to explain the range of CCM predictions for the return-to-1980 dates for global (60 S-60 N) and Antarctic column ozone. Later (earlier) Antarctic return dates are generally correlated to higher (lower) vortex Cl(sub y) levels in the LS, and vortex Cl(sub y) is generally correlated with the model's circulation although model Cl(sub y) chemistry or Cl(sub y) conservation can have a significant effect. In both regions, models that have good LS transport produce a smaller range of predictions for the return-to-1980 ozone values. This study suggests that the current range of predicted return dates is unnecessarily large due to identifiable model transport deficiencies.