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Title: Use of North American and European air quality networks to evaluate global chemistry-climate modeling of surface ozone

Here we test 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 4217 stations in North America and Europe that are averaged over 1° × 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 local time (LT)) and monthly (mid-June) peak surface ozone abundance. The amplitude of these cycles is less successfully matched. The observed summertime diurnal range (~ 25 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 % of individual extreme events occur in large-scale, multi-day episodes of more than 100 grid cells. The modelsmore » 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. Lastly, we conclude that the skill of the models evaluated here provides confidence in their projections of future surface ozone.« less
 [1] ;  [1] ;  [2] ;  [3] ;  [4] ; ORCiD logo [5] ;  [6] ;  [7] ;  [8] ;  [9] ;  [10] ;  [11] ;  [12] ; ORCiD logo [13]
  1. Univ. of California, Irvine, CA (United States). Dept. of Earth System Science
  2. Centre National de Recherches Meteorologiques, Toulouse (France)
  3. National Oceanic and Atmospheric Administration, Princeton, NJ (United States). UCAR/NOAA Geophysical Fluid Dynamics Lab.
  4. National Oceanic and Atmospheric Administration, Princeton, NJ (United States). Geophysical Fluid Dynamics Lab.
  5. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  6. awrence Livermore National Lab. (LLNL), Livermore, CA (United States
  7. National Inst. of Water and Atmospheric Research, Lauder (New Zealand)
  8. Canadian Centre for Climate Modeling and Analysis, Victoria, BC (Canada)
  9. Nagoya Univ. (Japan). Dept. of Earth and Environmental Science; Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan). Dept. of Environmental Geochemical Cycle Research
  10. National Inst. for Environmental Studies, Tsukuba (Japan).
  11. Duke Univ., Durham, NC (United States). Nicholas School of the Environment
  12. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States); Columbia Univ., New York, NY (United States). Columbia Earth Inst.
  13. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Univ. Space Research Association, Columbia, MD (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 1680-7324
Grant/Contract Number:
AC52-07NA27344; AC02-05CH11231; NNX09AJ47G; NNX13AL12G; NNX15AE35G; SC0007021
Published Article
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 15; Journal Issue: 18; Journal ID: ISSN 1680-7324
European Geosciences Union
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Aeronautic and Space Administration (NASA); National Science Foundation (NSF)
Country of Publication:
United States
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1341966