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CanOSSEM (version 3): Estimates of PM_2.5 and wildfire smoke days for 2010-2023

CanOSSEM (version 3) includes estimates of daily mean PM_2.5 and wildfire smoke days for all populated regions of Canada for 2010-2023. The data are available as .Rdata files at the following geographic resolutions:

• CanOSSEM raster cell (5 km x 5 km)
• Census dissemination block (DB)
• Census dissemination area (DA)
• Postal code (PC)
• Forward sortation area (FSA)

The raster cell dataset also includes variables for daily smoke plume presence, fire radiative power, temperature, and relative humidity. Crosswalk files are provided for the mapping of raster cells to other geographic resolutions. READMEs are available for each dataset and provide detailed information on included variables, dataset generation, and data sources.  

Requesting Access

The CanOSSEM dataset is publicly available. To access the data and helps us track the usage of CanOSSEM, please complete the request form at the below link. Once the form is completed, you will automatically recieve a link to a Dropbox folder where you can freely download the .Rdata files. 

Citing CanOSSEM

If you use the CanOSSEM estimates in your research studies, we request that you cite CanOSSEM in any published and public-facing materials as follows:

Paul, N.; Yao, J.; McLean, K. E.; Stieb, D. M.; Henderson, S. B. The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A Machine Learning Approach to Estimate National Daily Fine Particulate Matter (PM2.5) Exposure. Sci. Total Environ. 2022, 850, 157956. https://doi.org/10.1016/j.scitotenv.2022.157956

CanOSSEM Performance & Code

CanOSSEM (version 3) has strong predictive performance. For the 2010-2023 PM_2.5 estimates, the root mean square error was 3.73 渭g/m³ and 96% of estimates were within 5 渭g/m³ of the observed values.

The code used to generate the PM_2.5 and wildfire smoke day estimates for CanOSSEM (version 3) can be found at: