Cell2Fire W (C2F-W)

Automated end-to-end wildfire simulation executes landscape-scale risk scenarios by converting forcing data, running fire models, and post-processing outputs without manual workflow rebuilding. It handles preflight validation, model execution, and structured results generation across multiple simulations for research and operational use.

You run multiple wildfire spread scenarios by using an integrated workflow that performs preflight validation, data preparation, and forcing conversion for S, C, K, and P models. This setup executes simulations and generates structured outputs like final grids, ROS, intensity, and flame length diagnostics.

Cell2Fire W supports multiple fire models including S&B, FBP, Kitral, and Portugal models. It integrates data preparation and forcing conversion for each model type, ensuring landscape-scale wildfire simulations are reproducible across different fire spread scenarios.

Post-processing wildfire simulation results generates structured outputs including final grids, messages, rate of spread (ROS), fire intensity, and flame length. These outputs are accompanied by diagnostics to support landscape-scale risk assessment and scenario analysis.

You can use landscape-scale wildfire simulations for operational risk assessment and research. The workflow applies preflight checks, executes multiple fire spread models, and outputs structured results with diagnostics, ensuring reproducible setup across many simulations.

Preflight validation is needed before executing fire spread models to ensure reproducible setup and prevent errors during landscape-scale wildfire simulations. It verifies forcing conversion and data preparation before model execution, guaranteeing structured post-processing outputs and diagnostics.