Articles | Volume 19, issue 7
https://doi.org/10.5194/acp-19-4393-2019
© 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/acp-19-4393-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Apr 2019
Research article |
| 04 Apr 2019
| 04 Apr 2019
An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada
Matthew Russell
Department of Civil and Environmental Engineering, Carleton
University, Ottawa, Canada
Amir Hakami
Department of Civil and Environmental Engineering, Carleton
University, Ottawa, Canada
Paul A. Makar
CORRESPONDING AUTHOR
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Ayodeji Akingunola
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Junhua Zhang
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Michael D. Moran
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Qiong Zheng
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
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Cited
15 citations as recorded by crossref.
- Machine Learning Classification of Air Quality Monitoring Stations to Achieve Ambient NO2 Objectives Using Emission Scenarios and Chemical Transport Model E. Hajiparvaneh et al. 10.1016/j.atmosenv.2024.120582
- The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling L. Jiang et al. 10.1016/j.atmosres.2024.107759
- Chemical Analysis of Surface-Level Ozone Exceedances during the 2015 Pan American Games C. Stroud et al. 10.3390/atmos11060572
- Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection S. Altshuler et al. 10.1080/10962247.2019.1659192
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. 10.5194/gmd-17-3579-2024
- Societal Co-benefits of Zero-Emission Vehicles in the Freight Industry S. Torbatian et al. 10.1021/acs.est.3c08867
- Acid wet-deposition modeling sensitivity to WRF-CMAQ planetary boundary layer schemes and exceedance of critical loads over an industrializing coastal valley in northwestern British Columbia, Canada C. Onwukwe & P. Jackson 10.1016/j.apr.2020.09.014
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Emissions database development and dispersion model predictions of airborne particulate elements in the Canadian Athabasca oil sands region F. Yang et al. 10.1016/j.envres.2023.115223
- Green solutions for heavy oil recovery: Dimethyl ether and dimethyl ether/methanol aqueous solutions M. BinDahbag et al. 10.1016/j.molliq.2024.125719
- A Multi-model Air Quality System for Health Research: Road model development and evaluation M. Seaton et al. 10.1016/j.envsoft.2022.105455
- The challenges of air quality modelling when crossing multiple spatial scales C. Silveira et al. 10.1007/s11869-019-00733-5
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Advances in science and applications of air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection J. Brook et al. 10.1080/10962247.2019.1607689
14 citations as recorded by crossref.
- Machine Learning Classification of Air Quality Monitoring Stations to Achieve Ambient NO2 Objectives Using Emission Scenarios and Chemical Transport Model E. Hajiparvaneh et al. 10.1016/j.atmosenv.2024.120582
- The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling L. Jiang et al. 10.1016/j.atmosres.2024.107759
- Chemical Analysis of Surface-Level Ozone Exceedances during the 2015 Pan American Games C. Stroud et al. 10.3390/atmos11060572
- Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection S. Altshuler et al. 10.1080/10962247.2019.1659192
- Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. 10.5194/gmd-17-3579-2024
- Societal Co-benefits of Zero-Emission Vehicles in the Freight Industry S. Torbatian et al. 10.1021/acs.est.3c08867
- Acid wet-deposition modeling sensitivity to WRF-CMAQ planetary boundary layer schemes and exceedance of critical loads over an industrializing coastal valley in northwestern British Columbia, Canada C. Onwukwe & P. Jackson 10.1016/j.apr.2020.09.014
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Emissions database development and dispersion model predictions of airborne particulate elements in the Canadian Athabasca oil sands region F. Yang et al. 10.1016/j.envres.2023.115223
- Green solutions for heavy oil recovery: Dimethyl ether and dimethyl ether/methanol aqueous solutions M. BinDahbag et al. 10.1016/j.molliq.2024.125719
- A Multi-model Air Quality System for Health Research: Road model development and evaluation M. Seaton et al. 10.1016/j.envsoft.2022.105455
- The challenges of air quality modelling when crossing multiple spatial scales C. Silveira et al. 10.1007/s11869-019-00733-5
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
Latest update: 25 Dec 2024
Short summary
High-resolution air-quality forecast modeling results are compared for two different grid spacings for the Environment and Climate Change Canada GEM-MACH model. While the higher-resolution simulations have worse formal error scores, we show that the higher-resolution model nevertheless has the ability to better resolve plume maxima and has better performance when the evaluation occurs using new scoring metrics which operate on an equal-representative-area basis.
High-resolution air-quality forecast modeling results are compared for two different grid...
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