Summary
Wildfires are becoming more frequent, intense, and difficult to manage due to the shift in the global climate and expanding development into fire-prone areas. A major challenge in wildfire response is predicting how fires will behave, especially in forested areas where wind, vegetation, and fire interact in complex ways. Current fire models oversimplify forests as static blocks and fail to capture how trees sway, bend, and influence airflow. These oversights can lead to inaccurate forecasts and limit the effectiveness of prescribed burns and emergency planning. This project seeks to change tha
