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

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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

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Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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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.
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