Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3641-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-3641-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
22 Aug 2019
Methods for assessment of models |
| 22 Aug 2019
| 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
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
now at: NASA Langley Research Center, Hampton, VA, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
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- Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth X. Ye et al. 10.1021/acs.est.2c05712
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- Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data J. Chen et al. 10.1016/j.jag.2022.102955
- Influence of Dynamic Ozone Dry Deposition on Ozone Pollution O. Clifton et al. 10.1029/2020JD032398
- Implications of the extremely hot summer of 2022 on urban ozone control in China W. Qiao et al. 10.1016/j.aosl.2024.100470
- Sources of Air Pollution Health Impacts and Co‐Benefits of Carbon Neutrality in Santiago, Chile M. Nawaz et al. 10.1029/2023JD038808
- Contrasting changes in ozone during 2019–2021 between eastern and the other regions of China attributed to anthropogenic emissions and meteorological conditions Y. Ni et al. 10.1016/j.scitotenv.2023.168272
- The differing impact of air stagnation on summer ozone across Europe J. Garrido-Perez et al. 10.1016/j.atmosenv.2019.117062
- Estimation of high spatial resolution ground-level ozone concentrations based on Landsat 8 TIR bands with deep forest model M. Li et al. 10.1016/j.chemosphere.2022.134817
- Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions H. Lee & R. Park 10.1016/j.envpol.2022.119645
- Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model R. Schwantes et al. 10.1029/2021MS002889
- Large contributions of soil emissions to the atmospheric nitrogen budget and their impacts on air quality and temperature rise in North China T. Sha et al. 10.5194/acp-24-8441-2024
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4) O. Clifton et al. 10.5194/acp-23-9911-2023
- 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
- Cluster-based characterization of multi-dimensional tropospheric ozone variability in coastal regions: an analysis of lidar measurements and model results C. Bernier et al. 10.5194/acp-22-15313-2022
- Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model Y. Li et al. 10.5194/acp-23-12525-2023
- Spatial and temporal variations of surface background ozone in China analyzed with the grid-stretching capability of GEOS-Chem High Performance X. Ye et al. 10.1016/j.scitotenv.2024.169909
- Dry Deposition of Ozone Over Land: Processes, Measurement, and Modeling O. Clifton et al. 10.1029/2019RG000670
- Limitations in representation of physical processes prevent successful simulation of PM<sub>2.5</sub> during KORUS-AQ K. Travis et al. 10.5194/acp-22-7933-2022
- Sensitivity of Tropospheric Ozone Over the Southeast USA to Dry Deposition C. Baublitz et al. 10.1029/2020GL087158
- Satellite-derived constraints on the effect of drought stress on biogenic isoprene emissions in the southeastern US Y. Wang et al. 10.5194/acp-22-14189-2022
- 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
- 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
- Australian Fire Emissions of Carbon Monoxide Estimated by Global Biomass Burning Inventories: Variability and Observational Constraints M. Desservettaz et al. 10.1029/2021JD035925
- Surface ozone trends at El Arenosillo observatory from a new perspective J. Adame et al. 10.1016/j.envres.2022.113887
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. 10.1088/1748-9326/abf191
- Large-scale ozone episodes in Europe: Decreasing sizes in the last decades but diverging changes in the future R. Crespo-Miguel et al. 10.1016/j.scitotenv.2024.175071
- Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China Z. Yin & X. Ma 10.1088/1748-9326/abc915
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Latest update: 03 Nov 2024
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...
