Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10581-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-10581-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Sep 2015
Research article |
| 25 Sep 2015
Use of North American and European air quality networks to evaluate global chemistry–climate modeling of surface ozone
Department of Earth System Science, University of California, Irvine, CA, USA
M. J. Prather
Department of Earth System Science, University of California, Irvine, CA, USA
B. Josse
GAME/CNRM, Météo-France, CNRS – Centre National de Recherches Météorologiques, Toulouse, France
V. Naik
UCAR/NOAA Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ, USA
L. W. Horowitz
Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ, USA
P. Cameron-Smith
Lawrence Livermore National Laboratory, Livermore, CA, USA
D. Bergmann
Lawrence Livermore National Laboratory, Livermore, CA, USA
National Institute of Water and Atmospheric Research, Lauder, New Zealand
D. A. Plummer
Canadian Centre for Climate Modeling and Analysis, Environment Canada, Victoria, British Columbia, Canada
Department of Earth and Environmental Science, Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
T. Nagashima
Center for Regional Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
D. T. Shindell
Nicholas School of the Environment, Duke University, Durham, NC, USA
G. Faluvegi
NASA Goddard Institute for Space Studies, and Columbia Earth Institute, Columbia University, New York, NY, USA
S. A. Strode
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
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40 citations as recorded by crossref.
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- Surface ozone interannual variability, trends, and extremes in CCMI models L. Zhang & Y. Cui 10.1016/j.atmosenv.2021.118841
- A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
- Update and evaluation of the ozone dry deposition in Oslo CTM3 v1.0 S. Falk & A. Søvde Haslerud 10.5194/gmd-12-4705-2019
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- Measurement-based assessment of health burdens from long-term ozone exposure in the United States, Europe, and China K. Seltzer et al. 10.1088/1748-9326/aae29d
- Characterizing Changes in Eastern U.S. Pollution Events in a Warming World A. Fiore et al. 10.1029/2021JD035985
- 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 K. Travis & D. Jacob 10.5194/gmd-12-3641-2019
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- Spectral analysis of atmospheric composition: application to surface ozone model–measurement comparisons D. Bowdalo et al. 10.5194/acp-16-8295-2016
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- Co-occurrence of extremes in surface ozone, particulate matter, and temperature over eastern North America J. Schnell & M. Prather 10.1073/pnas.1614453114
- Global atmospheric chemistry – which air matters M. Prather et al. 10.5194/acp-17-9081-2017
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- Tropospheric ozone seasonal and long-term variability as seen by lidar and surface measurements at the JPL-Table Mountain Facility, California M. Granados-Muñoz & T. Leblanc 10.5194/acp-16-9299-2016
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- Global changes in the diurnal cycle of surface ozone S. Strode et al. 10.1016/j.atmosenv.2018.11.028
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- Technical note: An assessment of the performance of statistical bias correction techniques for global chemistry–climate model surface ozone fields C. Staehle et al. 10.5194/acp-24-5953-2024
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Latest update: 04 Nov 2024
Short summary
We test global chemistry--climate models in their ability to simulate present-day surface ozone. Models are tested against observed hourly ozone from 4217 stations in North America and Europe that are averaged over 1°x1° grid cells. Using novel metrics, we find most models match the shape but not the amplitude of regional summertime diurnal and annual cycles and match the pattern but not the magnitude of summer ozone enhancement. Most also match the observed distribution of extreme episode sizes
We test global chemistry--climate models in their ability to simulate present-day surface ozone....
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