Articles | Volume 17, issue 13
https://doi.org/10.5194/acp-17-8285-2017
https://doi.org/10.5194/acp-17-8285-2017
Research article
 | 
07 Jul 2017
Research article |  | 07 Jul 2017

Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis

Kazuyuki Miyazaki and Kevin Bowman

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Cited articles

Aghedo, A. M., Bowman, K. W., Shindell, D. T., and Faluvegi, G.: The impact of orbital sampling, monthly averaging and vertical resolution on climate chemistry model evaluation with satellite observations, Atmos. Chem. Phys., 11, 6493–6514, https://doi.org/10.5194/acp-11-6493-2011, 2011.
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Arakawa, A. and Schubert, W. H.: Interaction of a Cumulus cloud ensemble with the large-scale environment, Part I., J. Atmos. Sci., 31, 674–701, https://doi.org/10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2, 1974.
Bloomer, B. J., Vinnikov, K. Y., and Dickerson, R. R.: Changes in seasonal and diurnal cycles of ozone and temperature in the eastern US, Atmos. Environ., 44, 2543–2551, https://doi.org/10.1016/J.Atmosenv.2010.04.031, 2010.
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Short summary
The ACCMIP ensemble ozone simulations are evaluated by a state-of-the-art multi-constituent chemical reanalysis. The reanalysis product provides comprehensive and unique information on the weakness of the individual models and multi-model mean. The differences are less evident with the current sonde network, which is shown to provide biased regional and monthly ozone statistics. The evaluation results have implications for ozone radiative forcing and the response of chemistry to climate.
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