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
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Total article views: 2,308 (including HTML, PDF, and XML)
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Total article views: 1,701 (including HTML, PDF, and XML)
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Total article views: 607 (including HTML, PDF, and XML)
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Cited
15 citations as recorded by crossref.
- Long-range transport of Siberian biomass burning emissions to North America during FIREX-AQ M. Johnson et al. 10.1016/j.atmosenv.2021.118241
- Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model Y. Wang et al. 10.1016/j.gsf.2021.101286
- Dry Deposition of Ozone Over Land: Processes, Measurement, and Modeling O. Clifton et al. 10.1029/2019RG000670
- Sensitivity of Tropospheric Ozone Over the Southeast USA to Dry Deposition C. Baublitz et al. 10.1029/2020GL087158
- Influence of Dynamic Ozone Dry Deposition on Ozone Pollution O. Clifton et al. 10.1029/2020JD032398
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- The differing impact of air stagnation on summer ozone across Europe J. Garrido-Perez et al. 10.1016/j.atmosenv.2019.117062
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
- Australian Fire Emissions of Carbon Monoxide Estimated by Global Biomass Burning Inventories: Variability and Observational Constraints M. Desservettaz et al. 10.1029/2021JD035925
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China Z. Yin & X. Ma 10.1088/1748-9326/abc915
- Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC M. Nawaz et al. 10.1525/elementa.2021.00043
- Ozone deposition impact assessments for forest canopies require accurate ozone flux partitioning on diurnal timescales A. Visser et al. 10.5194/acp-21-18393-2021
15 citations as recorded by crossref.
- Long-range transport of Siberian biomass burning emissions to North America during FIREX-AQ M. Johnson et al. 10.1016/j.atmosenv.2021.118241
- Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model Y. Wang et al. 10.1016/j.gsf.2021.101286
- Dry Deposition of Ozone Over Land: Processes, Measurement, and Modeling O. Clifton et al. 10.1029/2019RG000670
- Sensitivity of Tropospheric Ozone Over the Southeast USA to Dry Deposition C. Baublitz et al. 10.1029/2020GL087158
- Influence of Dynamic Ozone Dry Deposition on Ozone Pollution O. Clifton et al. 10.1029/2020JD032398
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- The differing impact of air stagnation on summer ozone across Europe J. Garrido-Perez et al. 10.1016/j.atmosenv.2019.117062
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. 10.5194/gmd-13-363-2020
- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
- Australian Fire Emissions of Carbon Monoxide Estimated by Global Biomass Burning Inventories: Variability and Observational Constraints M. Desservettaz et al. 10.1029/2021JD035925
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China Z. Yin & X. Ma 10.1088/1748-9326/abc915
- Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC M. Nawaz et al. 10.1525/elementa.2021.00043
- Ozone deposition impact assessments for forest canopies require accurate ozone flux partitioning on diurnal timescales A. Visser et al. 10.5194/acp-21-18393-2021
Latest update: 08 Feb 2023
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...