The Canadian Forest Fire Behavior Prediction (FBP) System is a subsystem of the larger Canadian Forest Fire Danger Rating System, which also includes the Canadian Forest Fire Weather Index (FWI) System. The FBP system provides quantitative estimates of head fire spread rate, fuel consumption, fire intensity and fire description and gives estimates of fire area, perimeter, perimeter growth rate and flank and back fire behaviour. This report describes the structure and content of the system and its use with forest fire characteristics.

The Canadian Forest Fire Behaviour Prediction (FBP) System provides a systematic method of assessing fire behaviour. The FBP System has 14 primary inputs that can be divided into 5 general categories: fuels, weather, topography, foliar moisture content, and type and duration of prediction. In the FBP System these inputs are used to mathematically develop 4 primary and 11 secondary outputs. Primary outputs are generally based on a fire intensity equation, and secondary outputs are calculated using a simple elliptical fire growth model. This publication provides diagrams, examples, and exercises that explain the FBP System in a user-oriented manner. This guideline delineates the interpretation of the FBP System's inputs and outputs and details how the predictions are derived.

The Canadian Forest Fire Behavior Prediction (FBP) system is a systematic method for assessing wildland fire behaviour potential. Presented in tabular format, this guide provides a simplified version of the system and is designed to assist field staff in making approximations of FBP System outputs.

This report describes a new set of standard fire behavior fuel models for use with Rothermels surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.

Accurate, high-resolution fire behavior prediction is a critical component of fire management decision-making before and during fires. Prometheus is a deterministic fire growth simulation model that was developed to help fire managers to understand the probable consequences of their decisions. It uses spatial input data on topography (slope, aspect, and elevation), fuel types, and weather to simulate fire growth by applying Huygens principle of wave propagation to the rate-of-spread predictions from the Canadian Forest Fire Behavior Prediction System of the Canadian Forest Fire Danger Rating System. This approach produces detailed fire perimeters at user-specified display time step intervals. Each active vertex along the perimeter has corresponding fire behavior output. Exported fire perimeters are compatible with geographic information systems. Additionally, three interpolation techniques are available to produce optional raster fire behavior outputs. This report documents the structure of the Prometheus model and an assessment of its performance. The report includes a general discussion of approaches to the modeling of fire growth simulation and explains the vector propagation technique used in Prometheus. The limitations and assumptions of applying the model, as well as the most appropriate directions for future research, are also discussed.