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Experimental Forecasting Using the High-Resolution Research Configuration of GEM-MACH

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Air Pollution Modeling and its Application XXVI (ITM 2018)

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 forecasting system has been designed in preparation for a follow-up field campaign, taking place during April and June of 2018.

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Correspondence to Paul Makar .

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Makar, P. et al. (2020). Experimental Forecasting Using the High-Resolution Research Configuration of GEM-MACH. In: Mensink, C., Gong, W., Hakami, A. (eds) Air Pollution Modeling and its Application XXVI. ITM 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-22055-6_35

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