U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Using Regional Air Quality Networks to Evaluate Global Chemistry-Climate Modeling of Surface Ozone
Published: September 25, 2015
Posted: May 23, 2016

Chemistry-climate models provide a valuable means for projecting future air quality in a changing climate, but recent assessments have lacked commensurate observational comparisons to establish their credibility in reproducing current cycles in surface ozone over polluted regions. The models in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) were used in the recent assessment of the Intergovernmental Panel on Climate Change (IPCC) and represent the most advanced attempt to simulate global surface ozone in a future climate. However, to have confidence in the models’ projections, their ability to simulate the observed, present-day surface ozone climatology must be evaluated.

A recent study tested the current generation of global chemistry-climate models in their ability to simulate observed, present-day surface ozone. Models are evaluated against hourly surface ozone from 4,217 stations in North America and Europe that are averaged over 1° x 1° grid cells, allowing commensurate model-measurement comparison. Models are generally biased high during all hours of the day and in all regions. Most models simulate the shape of regional summertime diurnal and annual cycles well, correctly matching the timing of hourly (~15:00) and monthly (mid-June) peak surface ozone abundance. The amplitude of these cycles is less successfully matched. The observed summertime diurnal range (~25 parts per billion (ppb)) is underestimated in all regions by about 7 ppb, and the observed seasonal range (~21 ppb) is underestimated by about 5 ppb except in the most polluted regions where it is overestimated by about 5 ppb. The models generally match the pattern of the observed summertime ozone enhancement, but they overestimate its magnitude in most regions. Most models capture the observed distribution of extreme episode sizes, correctly showing that about 80 percent of individual extreme events occur in large-scale, multi-day episodes of more than 100 grid cells. The models also match the observed linear relationship between episode size and a measure of episode intensity, which shows increases in ozone abundance by up to 6 ppb for larger-sized episodes. This study concludes that the skill of the models evaluated provides confidence in their projections of future surface ozone.

Reference: Schnell, J. L., M. J. Prather, B. Josse, V. Naik, L. W. Horowitz, P. Cameron-Smith, D. Bergmann, G. Zeng, D. A. Plummer, K. Sudo, T. Nagashima, D. T. Shindell, G. Faluvegi, and S. A. Strode. 2015. “Use of North American and European Air Quality Networks to Evaluate Global Chemistry–Climate Modeling of Surface Ozone,” Atmospheric Chemistry and Physics 15, 10581–96. DOI: 10.5194/acp-15-10581-2015. (Reference link)

Contact: Dorothy Koch, SC-23.1, (301) 903-0105
Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling

Division: SC-23.1 Climate and Environmental Sciences Division, BER


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