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

Viewed

Total article views: 2,052 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,388 610 54 2,052 50 52
  • HTML: 1,388
  • PDF: 610
  • XML: 54
  • Total: 2,052
  • BibTeX: 50
  • EndNote: 52
Views and downloads (calculated since 19 Oct 2018)
Cumulative views and downloads (calculated since 19 Oct 2018)

Viewed (geographical distribution)

Total article views: 2,052 (including HTML, PDF, and XML) Thereof 2,013 with geography defined and 39 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 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.
Altmetrics
Final-revised paper
Preprint