Chapter 35
Experimental Forecasting Using
the High-Resolution Research
Configuration of GEM-MACH
Paul Makar, Ayodeji Akingunola, Balbir Pabla, Craig Stroud, Jack Chen,
Philip Cheung, Michael Moran, Wanmin Gong, Qiong Zheng and S. M. Li
Abstract Experimental air-quality forecasts for the Canadian provinces of Alberta
and Saskatchewan have been carried out since 2012, using a 10 km/2.5 km nested resolution version of Environment and Climate Change Canada’s Global Environmental
Multiscale-Modelling Air-quality and Chemistry (GEM-MACH) on-line air-quality
model. We describe here some of the main results of that work, and a major upgrade
of this forecasting system (based on work carried out following a 2013 monitoring
intensive field campaign in the Athabasca oil sands region of Canada). The new
P. Makar (B) · A. Akingunola · B. Pabla · C. Stroud · P. Cheung · M. Moran · W. Gong ·
Q. Zheng · S. M. Li
Air Quality Research Division, Science and Technology Branch, Environment and Climate
Change Canada, Toronto, ON, Canada
e-mail: paul.makar@canada.ca
A. Akingunola
e-mail: ayodeji.akingunola@canada.ca
B. Pabla
e-mail: balbir.pabla@canada.ca
C. Stroud
e-mail: craig.stroud@canada.ca
P. Cheung
e-mail: philip.cheung@canada.ca
M. Moran
e-mail: mike.moran@canada.ca
W. Gong
e-mail: wanmin.gong@canada.ca
Q. Zheng
e-mail: qiong.zheng@canada.ca1
S. M. Li
e-mail: shao-meng.li@canada.ca
J. Chen
Air Quality Research Division, Science and Technology Branch, Environment and Climate
Change Canada, Ottawa, ON, Canada
e-mail: jack.chen@canada.ca
© Crown 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity, https://doi.org/10.1007/978-3-030-22055-6_35
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