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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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Paul Makar on behalf of the Authors (06 Mar 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (14 Mar 2019) by Jason West
RR by Anonymous Referee #1 (15 Mar 2019)
ED: Publish subject to technical corrections (19 Mar 2019) by Jason West
AR by Paul Makar on behalf of the Authors (21 Mar 2019)  Manuscript 
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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