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Videos

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Seminar Series

In these Fire Danger Group seminars, we are looking to connect directly with fire management agencies and other end users of the CFFDRS to communicate the new and ongoing updates. Anyone is welcome to attend. To get notifications about when our next live seminar will be, sign up to our mailing list at the form above. Videos of past seminars will be available here shortly after each session.

Grasslands in the Fire Weather Index System (May 2025)


Interpreting Outputs and the Shift to Hourly Weather Inputs (August 2025)


Explainers

Overview of the Updates in the Fire Weather Index System (October 2025)


FWI2025 Excel Calculators Quick Start (April 2026)


Excel Calculators

The FWI2025 Excel calculators are Microsoft Excel workbooks designed to give individual users a simple and interactive way to explore FWI2025. Check out the manual for detailed information on how to use them. A Quick Start Guide is available in the manual in text form or in the Explainers section above in video form.

Last updated: June 30th, 2026

Reports

NG-CFFDRS

Field Guides

CFFDRS1992

More current and historical CFFDRS documentation can be found on the
NRCan Open S&T Repository (OSTR).

Recent Publications

Thompson, D. K., Fusina, G., & Jackson, P. (2026). Evaluation of Ground-Based Smoke Sensors for Wildfire Detection and Monitoring in Canada. Fire, 9(4), 141. https://doi.org/10.3390/fire9040141

  • This examination of prescribed fire and wildfires in the grasslands of Alberta, Quebec, and British Columbia shows examples of FWI grassland components (i.e. GFMC, GSI, GFWI) during ignition events.

Liu, M., Greene, G., Perrakis, D. D. B., Roeser, D. (2026). Modelling fire behaviour in the lodgepole pine forests of interior British Columbia: An evaluation of models against field evidence. Ecological Informatics, 95, Article 103789. https://doi.org/10.1016/j.ecoinf.2026.103789

  • An evaluation of fire behaviour models in lodgepole pine forests of interior British Columbia found that the Canadian Conifer Pyrometrics (ConPyro) model most closely matched fire intensity reconstructed from field observations, while all models had difficulty accurately predicting fire behaviour in treated stands with more complex forest structures.

Hanes, C. C., Swystun, T., Brookes, A., Jurko, N. & Thompson, D. (2026). Organic Layer Thickness and Organic Layer Fuel Load of Canadian Forest Regions. Natural Resources Canada. https://ostrnrcan-dostrncan.canada.ca/handle/1845/350672

  • This publication compiles estimates of organic layer thickness and organic layer fuel load across Canada's forest regions, providing important baseline information for improving predictions of wildfire behaviour, fuel consumption, emissions, and ecological effects. Organic layers are a critical component of forest fuels and carbon storage, yet their characteristics vary substantially across forest types and environmental conditions.

Perrakis, D. D. B., Hebda, N. J. R., & Taylor, S. W. (2026). Simple Spread Models for Understory Surface Fires. Fire, 9(7), 302. https://doi.org/10.3390/fire9070302

  • A new study developed and tested simple models for predicting understory surface fire spread in North American forests, finding that wind speed and fuel moisture are the primary drivers of spread rates and that the new models generally outperformed existing approaches while maintaining practical accuracy for operational use.

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