How might you estimate ROS with limited data?

• A. Baseline ROS for the fuel model and rough adjustments for wind and slope; validate with field observations
• B. Use ROS from a different fire
• C. Ignore wind and slope
• D. Use wind data only

Answer: (D)

When data is limited, wind data becomes the best standalone basis for a rough ROS estimate because wind is the primary driver of fire spread. It directly affects flame length, heat transfer to fuels, and preheating ahead of the fire, which together control how quickly the fire can advance. Relying on wind data only gives a quick, defensible approximation of ROS without needing detailed fuel models, slope measurements, or field validation data that you simply may not have. Other approaches—like pulling ROS from another fire, or trying to base ROS on a baseline with rough wind and slope adjustments—require more information and calibration to be reliable, and ignoring wind altogether would ignore the dominant factor that governs spread. While this wind-only approach is less precise, it provides a practical estimate when data is scarce and supports rapid decision-making in the field.