View ECCC Data Mart (French) (French, HTML)

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Publisher-reported update

2018-03-09

Environment and Climate Change Canada's (ECCC’s) air quality model, Global Environmental Multiscale – Model of Atmospheric Chemistry (GEM-MACH v2), was run at high spatial resolution to generate daily forecasts for the Air Quality Health Index (AQHI) at Pan Am sporting venue locations and for surface air quality measurement stations across the Greater Toronto Area. The model was run for a domain covering all of Southern Ontario at a spatial resolution of 2.5-km grid spacing. The model also included updated traffic pollutant emissions, generated before the Games by using a road link-based, traffic flow model. The GEM-MACH model generated daily forecasts on an hourly interval and forecasts were available at 6am local time each morning. Numerous chemical pollutants were predicted including ozone, nitrogen dioxide, carbon monoxide, sulfur dioxide, particulate matter, among others. The air quality forecasts were placed on several data servers for dissemination (ECCC Air Quality Model experimental website, Science and Technology ECPASS website, WISDOM health information website, MSC XM-Tools website, University of Toronto AirSensor website). The data in the archive is for the high…

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