The frequency and size of wildfires worldwide are increasing and negatively impacting communities and ecosystems. Gaining an understanding of how these fires move and spread allows for more accurate predictive modeling which can help to minimize loss of life and ecological damage. By experimentally imaging the unsteady interactions of flames with flow obstructions in a controlled cross-flow environment, we can build a better understanding of the complex patterns and structures that occur in a wind-driven combusting flow. This information can then be used to help improve computational models for predicting the development and spread of wildfires.
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