Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** wildfires are becoming more…

Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** wildfires are becoming more frequent and intense due to climate change, posing a significant threat to lives, property, and natural resources. Effective wildfire management is crucial to mitigate these risks, but traditional fire behavior models often lack the ability to accurately predict the dynamic and complex nature of wildfires. Our project aims to enhance wildfire prediction and risk management through the development of advanced fire forecasting tools, particularly the pyrecast platform. This platform uses probabilistic modeling to provide more reliable and detailed predictions of fire behavior, helping emergency managers, electric utilities, and insurance companies make better-informed decisions to protect communities and manage resources effectively. The project will integrate cutting-edge weather-fire models and advanced statistical methods to improve the accuracy and usability of wildfire forecasts. By incorporating uncertainty estimates and dynamic graphical representations, pyrecast will offer users a clearer understanding of potential fire scenarios and associated risks. The platform will be scaled to cover broader geographic areas, including alaska and hawaii, and will include features such as a decision support tool for electric utility companies to make informed decisions about implementing public safety public shutoffs to mitigate wildfire risks. This project will ultimately lead to improved wildfire management practices, enhanced safety for communities and firefighters, and reduced economic losses due to wildfires.