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A multi-model analysis of vertical ozone profiles

Jonson, J. E., A. Stohl, A. M. Fiore, P. Hess, S. Szopa, O. Wild, G. Zeng, F. J. Dentener, A. Lupu, M. G. Schultz, B. Duncan, K. Sudo, P. Wind, M. Schulz, E. Marmer, C. Cuvelier, T. Keating, A. Zuber, A. Valdebenito, V. Dorokhov, H. De Backer, J. Davies, G. H. Chen, B. Johnson, D. W. Tarasick, R. Stübi, M. Newchurch, P. von der Gathen, W. Steinbrecht, and H. Claude (2010), A multi-model analysis of vertical ozone profiles, Atmos. Chem. Phys., 10, 5759-5783, doi:10.5194/acp-10-5759-2010.
Abstract: 

A multi-model study of the long-range transport of ozone and its precursors from major anthropogenic source regions was coordinated by the Task Force on Hemispheric Transport of Air Pollution (TF HTAP) under the Convention on Long-range Transboundary Air Pollution (LRTAP). Vertical profiles of ozone at 12-h intervals from 2001 are available from twelve of the models contributing to this study and are compared here with observed profiles from ozonesondes. The contributions from each major source region are analysed for selected sondes, and this analysis is supplemented by retroplume calculations using the FLEXPART Lagrangian particle dispersion model to provide insight into the origin of ozone transport events and the cause of differences between the models and observations.

In the boundary layer ozone levels are in general strongly affected by regional sources and sinks. With a considerably longer lifetime in the free troposphere, ozone here is to a much larger extent affected by processes on a larger scale such as intercontinental transport and exchange with the stratosphere. Such individual events are difficult to trace over several days or weeks of transport. This may explain why statistical relationships between models and ozonesonde measurements are far less satisfactory than shown in previous studies for surface measurements at all seasons. The lowest bias between model-calculated ozone profiles and the

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Research Program: 
Modeling Analysis and Prediction Program (MAP)