Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3641-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-3641-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
22 Aug 2019
Methods for assessment of models |
| 22 Aug 2019
| 22 Aug 2019
Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02
Katherine R. Travis
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
now at: NASA Langley Research Center, Hampton, VA, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
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- Impact of Climate Variability and Change on the Surface Ozone Response to NOx Emissions Reductions E. Le Roy et al. 10.1021/acs.est.5c01347
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Latest update: 02 Jul 2025
Short summary
Models of ozone air pollution are often evaluated with the policy metric set by the EPA of the maximum daily 8 h average ozone concentration. These models may be used in policy settings to evaluate air quality regulations. However, most models have difficulty simulating how ozone varies over the course of the day, and thus the use of this metric in model evaluation is problematic. Improved representation of mixed layer dynamics and ozone loss to the surface is needed to resolve this issue.
Models of ozone air pollution are often evaluated with the policy metric set by the EPA of the...
