Articles | Volume 12, issue 8
Geosci. Model Dev., 12, 3641–3648, 2019
https://doi.org/10.5194/gmd-12-3641-2019
Geosci. Model Dev., 12, 3641–3648, 2019
https://doi.org/10.5194/gmd-12-3641-2019

Methods for assessment of models 22 Aug 2019

Methods for assessment of models | 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 and Daniel J. Jacob

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Katherine Travis on behalf of the Authors (28 Jun 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (17 Jul 2019) by Christoph Knote
AR by Katherine Travis on behalf of the Authors (19 Jul 2019)  Author's response    Manuscript
ED: Publish as is (22 Jul 2019) by Christoph Knote
Download
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.