Articles | Volume 19, issue 7
Atmos. Chem. Phys., 19, 4393–4417, 2019
https://doi.org/10.5194/acp-19-4393-2019
Atmos. Chem. Phys., 19, 4393–4417, 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 et al.

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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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