• Rodell, Christopher

  • Moisseeva, Nadya

  • McKinney, Reagan

  • Howard, Rosie

  • Chui, Tim

  • Schigas, Roland

  • Stull, Roland


  • University of British Columbia

  • Natural Resources Canada

  • National Center for Atmospheric Research

  • University Corporation for Atmospheric Research


  • Weather Research and Forecasting Model

  • Canadian Wildland Fire Information System


  • wildfire science

  • atmospheric science

  • numerical weather prediction


  • fire weather forecasts

  • fire behavior forecasts

  • atmospheric science

  • numerical weather prediction

  • zarr

  • netcdf

Date Created

  • May 24, 2019 to present


  1. Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libertá, G., & San Miguel, J. (2016). The Potential Predictability of Fire Danger Provided by Numerical Weather Prediction, Journal of Applied Meteorology and Climatology, 55(11), 2469-2491. Retrieved Apr 12, 2021, from

  2. Forestry Canada Fire Danger Group, 1992: Development and structure of the Canadian Forest Fire Behavior Prediction System. For vol. ST-X-3, Ot. URL:

  3. Lawson, B.D. and O.B. Armitage. 2008. Weather guide for the Canadian Forest Fire Danger Rating System. Nat. Resour. Can., Can. For. Serv., North. For. Cent., Edmonton, AB.

  4. Natural Resources Canada, 2020: Canadian Wildfire Information System Datamart.

  5. Van Wagner, C.E. A method of computing fine fuel moisture content throughout the diurnal cycle. 1977., Environment Canada, Canadian Forestry Service, Petawawa Forest Experiment Station, Chalk River, Ontario. Information Report PS-X-69.

  6. Van Wagner, C.E. and T.L. Pickett. 1985. Equations and FORTRAN program for the Canadian Forest Fire Weather Index System. Can. For. Serv., Ottawa, Ont. For. Tech. Rep. 33. 18 p.

  7. Van Wagner, C.E. 1987. Development and structure of the Canadian forest fire weather index system. Forest Technology Report 35. (Canadian Forestry Service: Ottawa).

  8. Vitolo, C., Di Giuseppe, F., Krzeminski, B. et al. A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices. Sci Data 6, 190032 (2019).