Articles | Volume 17, issue 22
https://doi.org/10.5194/gmd-17-8373-2024
https://doi.org/10.5194/gmd-17-8373-2024
Methods for assessment of models
 | 
26 Nov 2024
Methods for assessment of models |  | 26 Nov 2024

Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ

T. Nash Skipper, Christian Hogrefe, Barron H. Henderson, Rohit Mathur, Kristen M. Foley, and Armistead G. Russell

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Cited articles

Bash, J. O., Baker, K. R., and Beaver, M. R.: Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California, Geosci. Model Dev., 9, 2191–2207, https://doi.org/10.5194/gmd-9-2191-2016, 2016. 
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Dentener, F., Keating, T., and Akimoto, H. (Eds.): Hemispheric Transport of Air Pollution 2010, Part A: Ozone and Particulate Matter. Task Force on Hemispheric Transport of Air Pollution, Air Pollution Studies, No. 17, United Nations Economic Commission for Europe, Geneva, https://doi.org/10.18356/2c908168-en, 2010. 
Dolwick, P., Akhtar, F., Baker, K. R., Possiel, N., Simon, H., and Tonnesen, G.: Comparison of background ozone estimates over the western United States based on two separate model methodologies, Atmos. Environ., 109, 282–296, https://doi.org/10.1016/j.atmosenv.2015.01.005, 2015. 
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Short summary
Chemical transport model simulations are combined with ozone observations to estimate the bias in ozone attributable to US anthropogenic sources and individual sources of US background ozone: natural sources, non-US anthropogenic sources, and stratospheric ozone. Results indicate a positive bias correlated with US anthropogenic emissions during summer in the eastern US and a negative bias correlated with stratospheric ozone during spring.
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