Articles | Volume 19, issue 7
https://doi.org/10.5194/acp-19-4393-2019
https://doi.org/10.5194/acp-19-4393-2019
Research article
 | 
04 Apr 2019
Research article |  | 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, Amir Hakami, Paul A. Makar, Ayodeji Akingunola, Junhua Zhang, Michael D. Moran, and Qiong Zheng

Related authors

A multiphase CMAQ version 5.0 adjoint
Shunliu Zhao, Matthew G. Russell, Amir Hakami, Shannon L. Capps, Matthew D. Turner, Daven K. Henze, Peter B. Percell, Jaroslav Resler, Huizhong Shen, Armistead G. Russell, Athanasios Nenes, Amanda J. Pappin, Sergey L. Napelenok, Jesse O. Bash, Kathleen M. Fahey, Gregory R. Carmichael, Charles O. Stanier, and Tianfeng Chai
Geosci. Model Dev., 13, 2925–2944, https://doi.org/10.5194/gmd-13-2925-2020,https://doi.org/10.5194/gmd-13-2925-2020, 2020

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions
Carlos Gómez-Ortiz, Guillaume Monteil, Sourish Basu, and Marko Scholze
Atmos. Chem. Phys., 25, 397–424, https://doi.org/10.5194/acp-25-397-2025,https://doi.org/10.5194/acp-25-397-2025, 2025
Short summary
Maximum ozone concentrations in the southwestern US and Texas: implications of the growing predominance of the background contribution
David D. Parrish, Ian C. Faloona, and Richard G. Derwent
Atmos. Chem. Phys., 25, 263–289, https://doi.org/10.5194/acp-25-263-2025,https://doi.org/10.5194/acp-25-263-2025, 2025
Short summary
Derivation of atmospheric reaction mechanisms for volatile organic compounds by the SAPRC mechanism generation system (MechGen)
William P. L. Carter, Jia Jiang, John J. Orlando, and Kelley C. Barsanti
Atmos. Chem. Phys., 25, 199–242, https://doi.org/10.5194/acp-25-199-2025,https://doi.org/10.5194/acp-25-199-2025, 2025
Short summary
Seasonal, regional, and vertical characteristics of high-carbon-monoxide plumes along with their associated ozone anomalies, as seen by IAGOS between 2002 and 2019
Thibaut Lebourgeois, Bastien Sauvage, Pawel Wolff, Béatrice Josse, Virginie Marécal, Yasmine Bennouna, Romain Blot, Damien Boulanger, Hannah Clark, Jean-Marc Cousin, Philippe Nedelec, and Valérie Thouret
Atmos. Chem. Phys., 24, 13975–14004, https://doi.org/10.5194/acp-24-13975-2024,https://doi.org/10.5194/acp-24-13975-2024, 2024
Short summary
The potential of drone observations to improve air quality predictions by 4D-Var
Hassnae Erraji, Philipp Franke, Astrid Lampert, Tobias Schuldt, Ralf Tillmann, Andreas Wahner, and Anne Caroline Lange
Atmos. Chem. Phys., 24, 13913–13934, https://doi.org/10.5194/acp-24-13913-2024,https://doi.org/10.5194/acp-24-13913-2024, 2024
Short summary

Cited articles

Akingunola, A., Makar, P. A., Zhang, J., Darlington, A., Li, S.-M., Gordon, M., Moran, M. D., and Zheng, Q.: A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands, Atmos. Chem. Phys., 18, 8667–8688, https://doi.org/10.5194/acp-18-8667-2018, 2018. 
Arunachalam, S., Holland, A., Do, B., and Abraczinskas, M.: A quantitative assessment of the influence of grid resolution on predictions of future-year air quality in North Carolina, USA, Atmos. Environ., 40, 5010–5026, 2006. 
Carhart, R. A., Policastro, A. J., Wastag, M., and Coke, L.: Evaluation of eight short-term long-range transport models using field data, Atmos. Environ. 23, 85–105, 1989. 
Carrera, M. L., Belair, S., and Bilodeau, B.: The Canadian Land Data Assimilation System (CALDAS): Description and Synthetic Evaluation Study, J. Hydrometeorol., 16, 1293–1314, 2015. 
Carslaw, D. C. and Ropkins, K.: Openair – an R package for air quality data analysis, Environ. Model. Softw., 27–28, 52–61, 2012. 
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.
Altmetrics
Final-revised paper
Preprint