Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1627-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-1627-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On the limit to the accuracy of regional-scale air quality models
Department of Marine, Earth, and Atmospheric Sciences, North Carolina
State University, Raleigh, NC, USA
Department of Civil and Environmental Engineering, University of
Connecticut, Storrs, CT, USA
Huiying Luo
Department of Civil and Environmental Engineering, University of
Connecticut, Storrs, CT, USA
Marina Astitha
Department of Civil and Environmental Engineering, University of
Connecticut, Storrs, CT, USA
Christian Hogrefe
Center for Environmental Measurement and Modeling, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
Valerie Garcia
Center for Environmental Measurement and Modeling, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
Rohit Mathur
Center for Environmental Measurement and Modeling, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
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- Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2023.120301
- Characterizing variability and predictability for air pollutants with stochastic models P. Meyer et al. 10.1063/5.0041120
- Influence of the Grid Resolutions on the Computer-Simulated Surface Air Pollution Concentrations in Bulgaria G. Gadzhev et al. 10.3390/atmos13050774
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region Q. Du et al. 10.1007/s00376-023-3060-3
- Evaluating the ability of the Wind Erosion Prediction System (WEPS) to simulate near-surface wind speeds in the Inland Pacific Northwest, USA X. Zhang et al. 10.1038/s41598-024-74714-9
- A review of international experience in air quality assessment M. Pozdnyakov et al. 10.17816/humeco456406
- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. 10.1016/j.atmosenv.2021.118798
- Assessing the manageable portion of ground-level ozone in the contiguous United States H. Luo et al. 10.1080/10962247.2020.1805375
- A novel CMAQ-CNN hybrid model to forecast hourly surface-ozone concentrations 14 days in advance A. Sayeed et al. 10.1038/s41598-021-90446-6
- A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
10 citations as recorded by crossref.
- Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2023.120301
- Characterizing variability and predictability for air pollutants with stochastic models P. Meyer et al. 10.1063/5.0041120
- Influence of the Grid Resolutions on the Computer-Simulated Surface Air Pollution Concentrations in Bulgaria G. Gadzhev et al. 10.3390/atmos13050774
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- Seasonal Characteristics of Forecasting Uncertainties in Surface PM2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region Q. Du et al. 10.1007/s00376-023-3060-3
- Evaluating the ability of the Wind Erosion Prediction System (WEPS) to simulate near-surface wind speeds in the Inland Pacific Northwest, USA X. Zhang et al. 10.1038/s41598-024-74714-9
- A review of international experience in air quality assessment M. Pozdnyakov et al. 10.17816/humeco456406
- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. 10.1016/j.atmosenv.2021.118798
- Assessing the manageable portion of ground-level ozone in the contiguous United States H. Luo et al. 10.1080/10962247.2020.1805375
- A novel CMAQ-CNN hybrid model to forecast hourly surface-ozone concentrations 14 days in advance A. Sayeed et al. 10.1038/s41598-021-90446-6
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
Since numerical air quality models do not explicitly simulate stochastic variations in the atmosphere, there will always be differences between modeled and measured pollutant levels even when the model's physics, chemistry, numerical analysis, and its input data are perfect. This paper quantifies the inherent uncertainty in regional models due to the stochastic nature of the atmosphere. A knowledge of the expected error helps model developers in evaluating the real progress in improving models.
Since numerical air quality models do not explicitly simulate stochastic variations in the...
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