Articles | Volume 20, issue 7
https://doi.org/10.5194/acp-20-4047-2020
https://doi.org/10.5194/acp-20-4047-2020
Research article
 | 
03 Apr 2020
Research article |  | 03 Apr 2020

Global sensitivity analysis of chemistry–climate model budgets of tropospheric ozone and OH: exploring model diversity

Oliver Wild, Apostolos Voulgarakis, Fiona O'Connor, Jean-François Lamarque, Edmund M. Ryan, and Lindsay Lee

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Cited articles

Akimoto, H.: Global air quality and pollution, Science, 302, 1716–1719, 2003. a
Aleksankina, K., Reis, S., Vieno, M., and Heal, M. R.: Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model, Atmos. Chem. Phys., 19, 2881–2898, https://doi.org/10.5194/acp-19-2881-2019, 2019. a
Ashworth, K., Wild, O., and Hewitt, C. N.: Sensitivity of isoprene emissions estimated using MEGAN to the time resolution of input climate data, Atmos. Chem. Phys., 10, 1193–1201, https://doi.org/10.5194/acp-10-1193-2010, 2010. a
Beddows, A. V., Kitwiroon, N., Williams, M. L., and Beevers, S. D.: Emulation and sensitivity analysis of the Community Multiscale Air Quality Model for a UK ozone pollution episode, Environ. Sci. Technol., 51, 6229–6236, https://doi.org/10.1021/acs.est.6b05873, 2017. a
Christian, K. E., Brune, W. H., and Mao, J.: Global sensitivity analysis of the GEOS-Chem chemical transport model: ozone and hydrogen oxides during ARCTAS (2008), Atmos. Chem. Phys., 17, 3769–3784, https://doi.org/10.5194/acp-17-3769-2017, 2017. a, b
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Global models of tropospheric chemistry and transport show a persistent diversity in results that has not been fully explained. We demonstrate the first use of global sensitivity analysis consistently across three independent models to explore these differences and reveal both clear similarities and surprising differences which have important implications for our assessment of future atmospheric composition change.
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